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AI customer support agents that resolve tickets autonomously - not script-driven chatbots.
Remote AI Chatbot Development for Europe A Dedicated Developer, Hourly or Monthly
AI chatbots that answer from your knowledge base with citations, deflect support, hand off to your helpdesk, and report what they could not answer - built by a remote dedicated developer for €25/hr or €2,000/mo on full European overlap, GDPR-ready with a signed DPA.
AI Chatbots From Empiric Infotech LLP
Empiric Infotech LLP builds custom AI chatbots for teams in the UK, Germany, France, the Netherlands, Spain, Ireland, and the Nordics - chatbots that answer from your knowledge base (your docs, help-centre, product manuals, Confluence or Notion wiki, Zendesk macros, past tickets, structured DB rows), not a stock GPT bot that hallucinates and frustrates customers. Two ways to engage a remote dedicated AI chatbot developer, billed in EUR with the EU VAT reverse-charge and a signed DPA on day 0: book hours at €25/hr for a defined scope (a v1 RAG pipeline, a KB ingest, a GDPR-aware evals pass, a model swap), or lock a month at the standard €2,000 for 160-172 hours of full-time, exclusive work overlapping the whole European working day when the KB is a rolling thing. The developer works in your GitHub or GitLab org, your EU cloud (AWS eu-west / eu-central, Azure Europe, GCP Europe, Hetzner, OVHcloud, Scaleway - EU data staying on EU infrastructure), and your model and vector DB keys, with the retrieval stack that fits your case (OpenAI / Voyage / Cohere / Mistral embeddings, Pinecone EU / Weaviate / Qdrant / pgvector / Chroma, LangChain or LlamaIndex or a hand-rolled pipeline). We design the chatbot's scope and tone, ingest and chunk your KB with EU residency where it matters, wire retrieval and reranking, build the prompt and citation logic, embed it where your users actually are (site widget, in-product, Slack, WhatsApp Business, Teams, an iOS or Android SDK), set up handoff to your helpdesk (Zendesk, Intercom, Front, Freshdesk), and add evals, guardrails, GDPR-aware PII redaction, and a DPO-readable dashboard on deflection rate, citation accuracy, escalation rate, and the questions the chatbot could not answer. A senior team lead reviews and tests every release. Why the hourly premium? RAG and prompt work is high-iteration expert work; the monthly rate is the same flat €2,000 as any Empiric engagement once you commit. If your need is actions, not answers, see /services/ai-agent-development; if it is a phone line, see /services/voice-agent-development.
What an AI chatbot engagement delivers for European teams
Not a demo bot that handles the first three FAQs and hallucinates on the fourth. A production chatbot in your EU cloud, answering from your real KB, embedded where your users are, on full European working-day overlap, with the evals, guardrails, and an audit trail a DPO can read.
A chatbot that answers from your knowledge base, with citations
Not a generic GPT wrapper. A retrieval-augmented chatbot that reads from your real content - help-centre articles, product docs, Confluence or Notion, Zendesk macros, past tickets, structured DB rows - and quotes its sources back so users can verify and your team can trust it. A clear 'I do not know' path when the answer is not in the corpus.
A RAG pipeline tuned for your corpus, with EU residency
Ingestion that handles HTML, PDFs, Markdown, Notion exports, Confluence dumps, Zendesk help-centre, your DB - with the chunking strategy your corpus calls for, embeddings from OpenAI / Voyage / Cohere / Mistral, a vector DB you can move off (Pinecone EU, Weaviate, Qdrant, pgvector, Chroma), reranking where retrieval is the bottleneck, and an incremental re-index pipeline. EU data stays on EU infrastructure where the use case calls for it.
The right surfaces - your site, your product, Slack, WhatsApp, Teams
A site widget that loads fast and matches your brand; an in-product chat where the user is already authenticated and you can pass context; a Slack app for internal-knowledge use cases; WhatsApp Business via Twilio or Meta Cloud API for customer-facing markets where WhatsApp is the channel; Microsoft Teams for internal-tools cases; a mobile SDK for iOS or Android. Multilingual handling for your UK, German, French, Spanish, Italian, Dutch, or Nordic users.
Handoff to a human, with conversation context intact
Direct integration with Zendesk, Intercom, Front, Freshdesk, HubSpot Service, or your custom helpdesk - the chatbot creates the ticket, attaches the conversation transcript, the retrieved sources, the user's account, and a brief summary, so an agent picks up at the right place. Routing rules on confidence, topic, sentiment, or European business hours.
Deflection metrics, DPO-readable
A dashboard on deflection rate, CSAT, escalation rate by topic, the 'I did not know' rate, citation accuracy on eval prompts, per-conversation cost, the unanswered questions, with GDPR-aware logging that does not leak PII into your observability stack. Logging to your EU observability stack (Grafana Cloud EU, Datadog EU, your own on Hetzner / OVH).
GDPR-aware guardrails, evals, and escalation
Eval-driven testing on real questions, content and safety filters, GDPR-aware PII redaction at write time, off-topic handling, prompt-injection resistance on user input AND on retrieved chunks, a clear escalate-to-human path, a data map of what flows where, a sub-processor list (model providers, vector DBs, observability), and a DPO-readable audit trail.
A developer who is still there next month
Your KB changes, your product changes, models change. A dedicated engagement means the same developer ingests the new docs, swaps the embedding or chat model, adds the next channel or the next language, keeps the evals green, and grows the chatbot - without notice-period drama.
How we scope an AI chatbot engagement for a European team
No multi-week sales cycle and no twenty-page statement of work. A call, a written scope and DPA, a trial, then hourly or monthly - your call. All on full European working-day overlap.
A scoping call
Thirty to forty-five minutes on full European overlap. You tell us who the chatbot is for, what knowledge base it answers from, the channels and languages you want, the helpdesk it should hand off to, the data sensitivity, and what would count as a measurable outcome - deflection rate, tickets avoided, CSAT, first-response time. No charge, no obligation.
A written scope, team proposal, and DPA
We send back the chatbot scope (audience, channels, topics in and out of scope), the retrieval stack we would use, the KB ingest plan and re-index cadence, the evals we would measure, the guardrails and escalation policy, the model and rough cost-per-conversation estimate, who we would put on it, the price both ways, and the DPA (sub-processor list, data map, EU residency).
A 7-day risk-free trial (on the monthly plan)
The developer gets into your repo and EU cloud account and ships the first slice - the chatbot answering real questions from a real KB subset with citations and an eval baseline, the DPA signed - inside the first week, reviewed and tested by the senior lead. Not a fit by day 7, full refund on the monthly plan.
Hourly or monthly, your choice
Hourly: billed by the hour at €25 with the EU VAT reverse-charge, time tracked to the minute, a weekly time report and a demo, stop any time - best for a defined scope or burst work. Monthly: 160-172 hours at the standard €2,000, monthly billing with the EU VAT reverse-charge and a signed DPA, cancel with 7 days notice - the better value when the KB is a rolling thing. Switch between them month to month; add a developer at the same rate.
Two ways to engage an AI chatbot developer
Two ways to engage a remote AI chatbot developer, billed in EUR with the EU VAT reverse-charge and a signed DPA on day 0. By the hour at €25 - pay as you go, time tracked to the minute, a weekly report and demo, no monthly commitment - best for a defined scope like a v1 RAG pipeline, a KB ingest, a GDPR-aware evals pass, or a model swap. Or monthly at the standard €2,000 for 160-172 hours of full-time, exclusive work overlapping the whole European working day - the better value when the KB is a rolling thing, with a 7-day risk-free trial. Either way: your repo, your EU cloud, the right retrieval stack, EU data residency, and a senior lead reviews and tests every release. Why the hourly premium? RAG and prompt work is high-iteration expert work; the monthly rate is the same flat rate as any Empiric engagement once you commit. Model, embedding, and vector DB usage is billed to your own accounts at cost.
Hourly plan
- A dedicated AI chatbot developer, exclusive to you while you have hours booked
- Pay as you go - billed by the hour (EU VAT reverse-charge), time tracked, a weekly report and demo
- Best for a defined scope (v1 RAG pipeline, KB ingest, GDPR-aware evals, model swap); no monthly commitment, stop any time
- Your repo, EU cloud, vector DB, and model keys from day one; EU data residency, signed DPA
- Every release reviewed and tested by a senior lead before it goes live
Monthly plan
- A dedicated AI chatbot developer, full-time and exclusive - 160-172 hours on full European overlap
- The best value when the KB is a rolling thing - new docs, more channels, evals, model swaps
- Your repo and EU cloud from day one; the same flat rate as any Empiric engagement
- 7-day risk-free trial, monthly billing (EU VAT reverse-charge), cancel with 7 days notice; signed DPA
- A senior lead reviews and tests every release before it goes live
Dedicated team
- A small dedicated team - developers plus a senior team lead who reviews and tests every release
- Add a developer (or a designer for the widget UI) at the same rate, in 48 hours
- Pair a chatbot developer with an agent developer or an MCP server developer to ship related surfaces at once
- Best for multi-channel rollouts, large knowledge bases, or several chatbots in production
What the first 90 days look like for a European team
Whether you are booking hours or on the monthly plan, the shape is the same, overlapping your whole working day. Here is a typical first three months.
- Week 1
Onboarding, the DPA, and the first slice
Repo and EU cloud access, the DPA signed, a working local environment, the retrieval stack chosen, a sample of the knowledge base ingested and chunked, embeddings into a vector DB you control with EU residency, and a first slice live - the chatbot answering real questions from a real KB subset with citations, an eval baseline, logs - shipped and reviewed. Day 7 is the risk-free decision point on the monthly plan.
- Month 1
A chatbot answering real questions in production
Full knowledge base ingested, the chatbot embedded in the priority channel, handoff to Zendesk / Intercom / Front wired with conversation context, prompt and citation logic tuned, guardrails (off-topic, GDPR-aware PII, prompt-injection) in place, an eval suite running on every change, EU data residency confirmed, and a dashboard on deflection rate, CSAT, escalation rate, and the unanswered questions.
- Month 2
More channels, more KB, multilingual
Edge cases month one surfaced - smoothed, chunking and retrieval tuned, the second channel added, multilingual handling for your German / French / Spanish / Italian / Dutch / Nordic users, the KB grown to cover the gaps, model-fallback handling for outages, and the second use case scoped or shipped.
- Month 3 and on
Deflection numbers, cost, GDPR pass, and ahead of the roadmap
A reliability pass, a cost pass on per-conversation spend, a GDPR and national-law compliance pass, a quality pass on citation accuracy and the 'I did not know' rate, a model swap if a newer or cheaper one wins, and the next channel or KB source scoped.
A remote AI chatbot developer - hourly or monthly - vs a fixed-price chatbot agency, a no-code chatbot platform, or a European in-house hire
| Empiric Infotech (AI chatbot developer - hourly or monthly) | Fixed-price chatbot agency | No-code chatbot platform (Intercom AI, Tiledesk, Ada, etc.) | Hire an AI engineer in-house in the EU/UK | |
|---|---|---|---|---|
| What you actually get | A custom RAG chatbot answering from your KB with citations, embedded where your users are, owned by you, with the developer who built it still there to grow it | A chatbot built to a spec, then a maintenance retainer or you are on your own | A widget you configure yourself; the KB ingest and retrieval quality are limited by the platform | Whatever your team can build alongside their other work |
| Pricing model | €25/hr for hourly work, or the standard €2,000/mo for a full-time developer if you lock a month; model and vector DB usage billed to your accounts at cost | €8K-€60K fixed bid for a v1 chatbot; change orders billed extra | Platform subscription (€50-€1,500/mo by traffic) plus your team's time tuning and curating | €75K-€110K salary + employer contributions - and rarely a full-time hire on its own |
| Estimate before you commit | An estimate both ways - hours per channel or what a month covers - plus a weekly time report and a demo | A fixed bid - you wear the overage as change orders | Platform demos; the real cost shows up after week two of ingest and tuning | Internal estimates, if any |
| GDPR, data residency, and DPO audit trail | EU data residency, a signed DPA, a data map, sub-processor list, and a DPO-readable audit trail - built in | Per the spec; new gates and a DPA may be change orders | Per platform; check the location, the sub-processors, and the DPA | In-house, on your own terms |
| Retrieval and citation quality | Your corpus, your chunking strategy, the right embeddings and reranker, citations the user can click, evals on every change | Per the spec; a new citation source is a change order | Whatever the platform supports; citations often shallow or absent | As much as your team builds |
| Channels, handoff, and languages | Site, in-product, Slack, WhatsApp Business, Teams, iOS or Android - all from one brain, multilingual, with helpdesk handoff carrying the context | Usually one or two channels; more are change orders | Whatever the platform supports; multilingual quality varies | As much as your team builds |
| Quality control | A senior lead reviews and tests every release before it goes live - built in, no extra charge | Per agency - often the same people who built it | On you to review and verify | Your own review process, if you have one |
| When the model or KB changes | The same developer swaps the chat or embedding model, re-runs the evals, and ships the fix - book an hour, or it is in the monthly plan | A support ticket, or a new maintenance retainer | Wait for the platform to support it | Whoever built it, if they are still at the company (notice periods run long across much of Europe) |
| Time to start, and invoicing | 48 hours; invoiced with the EU VAT reverse-charge | 2-6 weeks (proposal, SOW, kickoff); per agency terms | Days; weeks of configuration and ingest before it does real work | 2-4 months, then a long notice period; payroll, social contributions |
Figures are typical European market ranges, not quotes. Model, embedding, and vector DB usage costs apply on top of any build cost in every option and are billed to your own accounts in ours. A fixed-price agency build of a comparable RAG chatbot commonly lands in the €8K-€60K range before change orders.
Working hours and European overlap
Our team works 09:30 AM - 07:30 PM IST and a project manager is on call 07:30 AM - 10:30 PM IST, Monday to Friday. Here is exactly when that lands for clients in the US, Europe and Australia, your region first.
UK & Ireland (London, Dublin) - full team online 5:00 AM - 3:00 PM, project manager 3:00 AM - 6:00 PM.Most of your working day overlaps ours - live standups, pair-coding and same-hour replies.
Central Europe (Berlin, Paris, Amsterdam, Madrid) - full team online 6:00 AM - 4:00 PM, project manager 4:00 AM - 7:00 PM.Most of your working day overlaps ours - live standups, pair-coding and same-hour replies.
US Eastern (New York, Boston, Atlanta) - full team online 12:00 AM - 10:00 AM, project manager 10:00 PM - 1:00 PM (next day).
US Pacific (Los Angeles, San Francisco, Seattle) - full team online 9:00 PM - 7:00 AM (next day), project manager 7:00 PM - 10:00 AM (next day).
Australia East (Sydney, Melbourne, Brisbane) - full team online 2:00 PM - 12:00 AM (next day), project manager 12:00 PM - 3:00 AM (next day).
Want it to the half-hour in your own time? Slide through your day and book a slot below.
Why European teams build their AI chatbot with a dedicated developer, not a fixed-price agency
Hiring a production-grade RAG engineer in Berlin, Amsterdam, or Stockholm runs roughly €8,500 to €13,000 a month all-in once you add employer social contributions, benefits, and equipment, with the long European notice periods on top, and a hiring market that thins quickly once you screen for actual shipped retrieval work. A fixed-price chatbot agency build of a v1 RAG bot typically runs €8,000 to €60,000 before the first change order, then a separate maintenance retainer. Empiric Infotech is billed two ways - €25 an hour for a defined scope, or the standard €2,000 a month per developer for 160-172 hours of full-time, exclusive work - in EUR with the VAT reverse-charge, with the same person on your chatbot the next month, and a senior lead reviewing and testing every release at no extra cost.
Most chatbot builds fail in the same places: a corpus chunked badly so retrieval misses the obvious answer; a confident hallucination on the question the corpus does not cover; a 'handoff' that drops the conversation context; citations the user cannot click; no eval suite, so the day after a model swap no one notices retrieval got worse; no GDPR-aware logging, so PII bleeds into observability. A dedicated Empiric developer has shipped retrieval-augmented chatbots for UK and EU SaaS, fintech, and B2B teams - with the evals, the DPA discipline, and the handoff polish that turn a chatbot from a feature into a deflection lever.
We have built AI and LLM features into products since the current wave began - retrieval, agents, structured extraction, model integration - and shipped web and mobile products since 2014. The depth shows up in the parts a quickstart skips: chunking modelled to your corpus, an 'I do not know' path the user trusts, citations that survive a re-index, helpdesk handoff with the transcript and the retrieved sources, GDPR-aware PII redaction at write time, prompt-injection resistance on retrieved chunks, multilingual handling tuned per language, and the honesty to say when your existing tool's bundled AI is doing the job already.
Recent AI, product, and integration work
Vedu - AI image generation and TTS in an EdTech app
An AI-powered German language learning product built for a German client by a two-person Empiric Infotech team - the Flutter app, the flashcard and quiz engine, text-to-speech, and AI image generation wired into the content backend. The integration and evals discipline a chatbot build needs.
Read case studyMarketPlace Monitor - a UK B2B platform engineered end to end
A UK B2B platform built for a UK client by an Empiric Infotech team - the data, the integrations, and the backend behind it. The shape of the wiring a chatbot build sits inside.
Read case studyGrobs - a European product engineered end to end
A consumer product built for a European client by an Empiric Infotech team - the application, the integrations, and the backend behind it. Inside-Europe overlap and a DPA on day 0.
Read case studyReady to build your AI chatbot?
Tell us who the chatbot is for, what knowledge base it answers from, where you want to embed it for your UK or EU users, the languages, the data sensitivity, and what would count as a real outcome - deflection rate, tickets avoided, CSAT, first-response time. Within 24 hours we will send back a chatbot scope, the retrieval stack we would use, a KB ingest plan, an evals plan, a team proposal, the DPA, and an estimate both ways. Your developer starts inside 48 hours on full European overlap.
Who We Help:
Built for Businesses That Need
Conversations That Convert
We partner with founders, support teams, and growth leaders who’ve outgrown basic chat widgets and need AI-powered chatbots that actually understand, respond, and drive results.
This Is for You If:
Your customers ask complex questions that scripted bots can’t handle
You’ve tried off-the-shelf chatbot tools - but hit limits in customization or accuracy
You’re still relying on live chat agents for repetitive, high-volume queries
You need a bot that can handle multiple intents, languages, and integrations
You want AI that represents your brand voice, not a generic template
You’re ready for a chatbot that boosts conversions, reduces support load, and scales with your business
What We Do
We Build AI Chatbots That Talk, Think, and Deliver Results
We don’t just embed a script into a chat window. We design fully customized, AI-powered chatbot systems - tailored to your brand voice, customer needs, and business goals.
No generic templates. No shallow automation. Just deeply intelligent bots that understand, respond, and convert - like your best support agent, available 24/7.
What We Build:
AI chatbots that handle complex, multi-turn conversations
Natural language understanding (NLU) to interpret user intent accurately
Context-aware responses that adapt as the conversation evolves
Multi-channel bots for websites, apps, social media, and messaging platforms
Seamless integrations with CRMs, helpdesks, eCommerce, and internal tools
Scalable systems that grow with your customer base and product range
Platforms & Tools We Work With (and Beyond):
We’re platform-agnostic - if it can chat, we can make it smarter.
Core Capabilities
Conversational AI for Every Touchpoint
Design intelligent chatbots that handle sales, support, onboarding, and FAQs - across web, mobile, and messaging platforms - with context awareness and natural conversation flow.
Built with: Chat-GPT, OpenAI APIs, LangChain, Dialogflow, Rasa
Multi-Channel Deployment
Launch your chatbot on WhatsApp, Facebook Messenger, Instagram, web chat widgets, or custom in-app solutions - with unified logic across all channels.
Powered by: WhatsApp Cloud API, Meta APIs, Telegram Bot API, Twilio
Context-Aware Conversations
Enable your chatbot to remember past interactions, understand user intent, and adapt responses based on conversation history and business rules.
Tech behind the scenes: LLMs, vector databases, custom NLP pipelines
Seamless System Integrations
Connect your chatbot with CRMs, ERPs, payment gateways, booking systems, and custom APIs - so it can do more than just talk.
Integrated into: HubSpot, Salesforce, Zoho, Stripe, n8n, Make
Analytics & Continuous Improvement
Get real-time insights into chatbot performance, user behavior, and drop-off points - then optimize conversations for better engagement and conversions.
Integrated with: Google Analytics, PowerBI, custom reporting dashboards
How We Build Chatbots That Scale
A Collaborative Process, Built Around Your Conversations
We don’t just drop a chatbot on your website - we design conversational systems that understand your users, connect with your tools, and scale with your business. Our process ensures your chatbot delivers measurable value from day one.
Discovery & Conversation Mapping
We analyze your customer touchpoints, support tickets, sales scripts, and FAQs to identify where a chatbot can make the biggest impact.
Outcome: Conversation strategy and ROI-backed implementation plan
Chat Flow & Tech Stack Design
We design conversational flows, choose the best AI/NLP models, and plan integrations - ensuring your chatbot matches your brand voice and technical requirements.
Outcome: Custom chatbot blueprint, platform-agnostic architecture
Prototype & Validate
We ship a focused v1 of your highest-value chatbot use case - testing with real users to refine responses, flows, and handover logic.
Outcome: Proven chatbot concept with early wins and stakeholder buy-in
Full Development & Integration
From multi-channel deployment (web, WhatsApp, Messenger, Slack) to CRM and payment gateway integrations - we deliver a production-ready chatbot.
Outcome: Fully functional chatbot running live in your chosen channels
Training & Handover
We train your team to update content, review analytics, and manage the bot without needing a developer for every change.
Outcome: Self-sufficient chatbot management with complete control
Optimization & Continuous Learning
We monitor performance, analyze chat logs, and improve AI accuracy - ensuring your chatbot gets smarter and more effective over time.
Outcome: Adaptive chatbot that grows with your users and business needs
Industries We Build For
Built for Meaningful Conversations - Across Sectors
From high-growth startups to complex enterprise environments, we design chatbots that handle real business conversations - not just scripted Q&A.
Industries We Serve:
SaaS & Startups
Lead qualification, user onboarding, in-app support
E-commerce
Product recommendations, order tracking, returns handling
HR & Recruitment
Candidate screening, interview scheduling, onboarding assistance
Healthcare Admin
Appointment booking, patient intake, compliance reminders
Logistics & Ops
Shipment updates, dispatch coordination, vendor communication
EdTech
Course guidance, student onboarding, test preparation assistance
If your customer interactions are too important for generic bots, you’re in the right place.
Why Empiric for Chatbots
What Sets Empiric Chatbots Apart
We’re not pushing cookie-cutter chat widgets. We craft intelligent, conversational agents that understand context, adapt to users, and integrate seamlessly into your workflows.
Our Approach:
ChatGPT-powered conversations
context-aware, multi-turn interactions that feel human
100% custom dialogue flows
built around your brand voice and business logic
Privacy-first design
GDPR-compliant, secure hosting, and full data control
Rapid prototyping
launch test-ready bots in weeks, not months
Founder-led collaboration
direct access, transparent decisions, no middle layers
Ongoing evolution
continuous tuning, analytics-driven improvements, and feature expansion
Tools We Work With
Platform-Agnostic. Conversation-First.
Built to Scale.
We build chatbots using the most advanced AI, NLP, and messaging platforms - always choosing the right stack for your business goals, not our convenience.
What We Work With:
AI & Language Models
Automation Platforms
AI Frameworks
Voice & Communication
Backend & Database
OpenAI
Claude
Gemini
Mistral
Meta LLaMA
We’ll design a setup that fits your compliance and control needs.
Why Businesses Choose Empiric Infotech LLP?
We worked with Empiric Infotech to build a chatbot for our children’s theater project, and we’re so glad we did. The team was fast, responsive, and kept working until everything was perfect. The project was delivered on time, within budget, and the end result looks and works great. We’re truly grateful for their support
E-commerce Brand
I found in Empiric Infotech an excellent partner to build my blockchain platform. They are professional, knowledgeable, and supportive at every stage. Even after launch, we keep collaborating - and the results have always been wonderful
Founder Winupdraws
I was looking for a skilled software team to help me transform my prototype into a complete app. Empiric Infotech not only delivered exactly what I needed, but also added custom features, backend notifications, and guided me through publishing on both app stores. Their communication was smooth and reliable. I can gladly recommend them.
Founder and consultant at tak innovation
We needed support to strengthen our technical platform, and Empiric Infotech delivered exactly what we were looking for. The team was professional, responsive, and kept everything on track with both time and cost. As our company grows, we’re glad to have them as a trusted partner and would happily recommend their services.
Founder Skapasaga
Finding the right agency for our My Ayur app was challenging, but Empiric Infotech delivered exactly what we needed. Over past months, their expertise in FlutterFlow and MongoDB stood out, consistently delivering high-quality work. Professional, friendly, and reliable - a partner I would confidently recommend.
Founder and CEO Sresht Ayur
We worked with Empiric Infotech to build a chatbot for our children’s theater project, and we’re so glad we did. The team was fast, responsive, and kept working until everything was perfect. The project was delivered on time, within budget, and the end result looks and works great. We’re truly grateful for their support
Eva MesmanE-commerce Brand
I found in Empiric Infotech an excellent partner to build my blockchain platform. They are professional, knowledgeable, and supportive at every stage. Even after launch, we keep collaborating - and the results have always been wonderful
John FelipeFounder Winupdraws
I was looking for a skilled software team to help me transform my prototype into a complete app. Empiric Infotech not only delivered exactly what I needed, but also added custom features, backend notifications, and guided me through publishing on both app stores. Their communication was smooth and reliable. I can gladly recommend them.
Andrzej KarelFounder and consultant at tak innovation
We needed support to strengthen our technical platform, and Empiric Infotech delivered exactly what we were looking for. The team was professional, responsive, and kept everything on track with both time and cost. As our company grows, we’re glad to have them as a trusted partner and would happily recommend their services.
Fredrik HagenFounder Skapasaga
Finding the right agency for our My Ayur app was challenging, but Empiric Infotech delivered exactly what we needed. Over past months, their expertise in FlutterFlow and MongoDB stood out, consistently delivering high-quality work. Professional, friendly, and reliable - a partner I would confidently recommend.
Eshu MiddhaFounder and CEO Sresht Ayur
Compliance & Security
Chatbots Without Compromising Privacy or Control
What We Deliver:
GDPR-compliant conversations & data storage
Role-based access controls (RBAC) for sensitive interactions
Self-hosted deployment options for all core chatbot services
Full audit logs & data retention governance
Built for teams that need voice AI - without compromising control.
Let’s Build the Smart System Your
Business Deserves
FAQs
Answers to Common Questions - From Founders, Ops Teams & Tech Leads
Frequently asked questions
A chatbot (this page) answers questions from a knowledge base in a back-and-forth - it retrieves the relevant chunks from your docs and writes an answer with citations. An AI agent (see /services/ai-agent-development) takes multi-step actions - it plans, calls your tools, reads results, decides again, and writes back to your systems. A support chatbot can deflect 'what is your refund policy'; a support agent can also issue the refund. They overlap, and one engagement can cover both.
Two ways, billed in EUR with the EU VAT reverse-charge and a signed DPA. By the hour at €25 - pay as you go, time tracked to the minute, a weekly report and demo, no monthly commitment - best for a defined scope like a v1 RAG pipeline, a KB ingest, a GDPR-aware evals pass, or a model swap. Or monthly at the standard €2,000 per dedicated developer for 160-172 hours of full-time, exclusive work in your repo and EU cloud, on full European overlap, with a 7-day risk-free trial - the better value when the KB is a rolling thing. Either way: a senior lead reviews and tests every release. The monthly rate is the same flat rate as every other Empiric Infotech engagement; no premium for the chatbot framing. Model, embedding, and vector DB usage is billed to your own accounts at cost.
Yes - GDPR-aware handling, EU data residency where the use case calls for it, and a signed DPA come on day 0. EU data stays on EU infrastructure (AWS eu-west / eu-central, Azure Europe, GCP Europe, Hetzner, OVHcloud, or Scaleway), with a data map, a sub-processor list (model providers, vector DBs, observability), GDPR-aware PII redaction at write time, and a DPO-readable audit trail. Model providers with EU data residency options (Anthropic, OpenAI EU, Mistral) are favoured where the use case calls for it.
Yes - the LLM models we use handle most European languages well out of the box (English, German, French, Spanish, Italian, Dutch, the Nordics). We add language detection on input, a system prompt that responds in the same language, language-specific evals where accuracy matters, language-specific KB chunks where the docs differ by language, and a fallback to a default language with an escalate-to-human path when confidence is low.
Often the cleanest pattern is: keep your existing chat surface (the widget, the inbox, the user data) and put our RAG behind it as the answer engine, with handoff back to your agents through the same tool. We have integrated with Intercom, Zendesk, Front, HubSpot, Freshdesk, and Tiledesk. If your existing tool's bundled AI is doing the job, we will tell you.
Several layers in production from day one. Strict RAG (the LLM answers only from retrieved chunks, with a clear 'I do not know' fallback when retrieval confidence is low). Citations the user can click. Off-topic handling. Prompt-injection resistance on user input AND on retrieved chunks. Content and safety filters. Eval suites that run on every change. GDPR-aware PII redaction in logs. A DPO-readable audit trail.
Direct integration with your helpdesk - Zendesk, Intercom, Front, Freshdesk, HubSpot Service, or your custom system. The chatbot creates the ticket, attaches the conversation transcript, the retrieved sources, the user's account, and a brief summary, so an agent picks up at the right place. Routing rules on confidence, topic, sentiment, language, or European business hours.
You own it - your repo, your EU cloud account, your knowledge base, your embeddings, your model keys, your data - from day one. EU data stays on EU infrastructure where the use case calls for it. We work inside your accounts, not ours.
Within 48 hours of sign-off: a scoping call on a European-overlap slot, a written scope and team proposal plus the DPA, then onboarding on day one. The first 7 days on the monthly plan are a risk-free trial with a full refund if it is not a fit. After that it is monthly billing with 7 days notice to stop, or hourly with stop-any-time - no auto-renewal, no minimum term.
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