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Autonomous AI agents that handle real work end-to-end - reasoning, acting, escalating.
AI Agent Development Company For US Teams A Remote Dedicated Developer
A remote developer who builds AI agents that do real work in your systems: qualify a lead and update Salesforce, resolve a billing ticket in Zendesk, reconcile payouts in Stripe. Evals, scoped permissions and approval gates come first, so your security team can sign off. Live with your Eastern-time morning.
AI Agents From Empiric Infotech LLP
Empiric Infotech LLP is an AI agent development company for US teams that want agents doing real work, not another chat window. A remote dedicated developer builds custom AI agents that read the context, decide the next step and act through your tools: research and qualify an inbound lead, then write it to Salesforce or HubSpot; settle a billing question by checking Stripe and replying in Zendesk; pull a contract from DocuSign and compare it with your playbook. Each tool the agent can call has its own permission scope, every action is logged, and anything that spends money, emails a customer or changes a record can wait for a person's approval. Before an agent goes live, US buyers usually ask three things: what the model provider keeps, whether the agent can touch anything it should not, and whether you can prove what it did. We answer them in the build. Model access goes through enterprise endpoints such as the OpenAI and Anthropic APIs, Azure OpenAI or Amazon Bedrock, whose terms exclude training on your data; each tool gets its own scoped credentials; and the audit trail is one your SOC 2 auditor can test. The developer works in your GitHub and your AWS, Azure or Google Cloud account, joins your morning standup on Eastern time, and a senior team lead reviews and tests every release. Our US work includes EndoDNA, whose AI assistant lets clinicians query labs, DNA and patient history in plain language, built by a single dedicated developer.
What our AI agent development company delivers for US teams
Agents that take actions in the systems your US team already runs, with the controls a security review and an engineering lead will expect.
Agents for revenue and customer teams
A sales agent that researches an inbound lead, scores it against your ideal customer profile and drafts the first email for a rep to approve. A support agent that reads a ticket, checks the order or subscription, applies your policy and closes routine cases in Zendesk or Intercom, handing the rest to a person with a summary.
Agents for finance and back office
Agents that reconcile Stripe payouts against NetSuite or QuickBooks, chase vendors for missing W-9s, or compare an invoice with its contract and flag the differences. They prepare the work; a person approves any payment, credit or write-off.
Tools with permission scopes
Every action the agent can take is a typed tool over your API with its own credentials and limits: read-only by default, write access only where the job needs it, and spend or volume caps on anything costly. Tools can sit behind an MCP server, so clients such as Claude or Cursor can use the same tools safely.
Evals before every release
A test set built from your real cases, scored on every prompt, model or tool change, so a regression shows up before a customer sees it. Scores are tracked over time, which also tells you when a cheaper model is good enough for the job.
An audit trail for SOC 2 and HIPAA
Every run records its input, its plan, each tool call, the output and the person who approved it, with logs sent to CloudWatch, Datadog or your SIEM. For PHI, model calls go through a provider that signs a BAA with you, and only the minimum necessary fields are sent.
One agent first, more only when it helps
We start with a single agent and a narrow job, measure it, and split the work into a planner and workers only when the evals show a gain. A small system that works beats a large one that demos well.
How a US AI agent engagement starts
From a first call to an agent working on real cases in about a week, on US hours.
A call in your morning
Thirty minutes in your Eastern, Central or Pacific morning. You describe the job you want the agent to do, the systems it would touch, how often the work arrives and how you would measure success: tickets resolved, hours saved, leads qualified.
A written design within 24 hours
The agent's job, the tools it gets and their permissions, where a person approves, the eval plan and a rough cost per run, plus an estimate on both plans. If a single model call or a plain automation would do the job better, the design says so. The NDA, IP assignment and our W-8BEN-E go over at the same time.
A first agent on real cases
Your developer starts within 48 hours and has the agent working end to end on a small set of real cases, with logs and a first eval score, by the end of the first week. Day 7 of the monthly plan is a real decision point, with a full refund if it is not a fit.
Monthly or hourly after that
A full-time developer billed monthly in USD, or hours tracked to the minute. Add a developer when you want a second agent, or stop with seven days' notice.
AI agent development pricing for US teams: hourly or monthly
Both plans are invoiced in USD and paid by ACH, wire or card. Monthly gives you a full-time AI agent developer for 160 to 172 hours, billed upfront, which suits an agent that will keep gaining tools and use cases. Hourly suits a defined job, such as an eval suite for an agent you already run or a move to a new model. The AI hourly rate is higher than our standard hourly rate because agent work comes in short expert bursts; the monthly rate is the same as any Empiric Infotech engagement. Model tokens, vector databases and observability tools are billed to your own accounts at cost.
Hourly plan
- An AI agent developer, exclusive to you while hours are booked
- Time tracked to the minute, with a weekly report and demo
- Suited to evals, a model swap or hardening an agent you already run
- Your GitHub, your cloud and your model keys from day one
- A senior team lead reviews and tests every release
Monthly plan
- A full-time AI agent developer, 160 to 172 hours a month
- Standups on your Eastern-time morning, a written handover daily
- One USD invoice a month, with a W-8BEN-E on file
- 7-day risk-free trial, then seven days' notice to stop
- Eval results and an audit trail with every release
Dedicated team
- Two or more developers plus a senior team lead
- For several agents, or an agent plus the MCP server it uses
- Add a developer, or a designer for review screens, within 48 hours
- Answers for your security questionnaire and vendor review
The first 90 days of an AI agent build with a US team
A typical first quarter, run on your morning overlap, with eval scores you can follow week by week.
- Week 1
Access, tools and a first eval score
Scoped credentials for the first tools, the agent running end to end on a small set of real cases, logs flowing into your observability stack and a baseline eval score. The monthly trial decision falls on day 7.
- Month 1
An agent doing real work, with approvals
The agent handling live cases with approval gates on anything consequential, spend and rate caps in place, an escalation path to a person, and evals run on every change.
- Month 2
More tools and the hard cases
The cases month one could not handle, more tools connected, fallbacks for model provider outages, and the audit trail reviewed with whoever owns security at your company.
- Month 3
Cost, reliability and the next agent
Model choices re-tested on your evals, retries and idempotency checked so a repeated step never charges or emails twice, and the next agent scoped.
A dedicated AI agent developer vs a US AI agency, an agent platform, or an in-house AI engineer
| Empiric Infotech (dedicated AI agent developer) | US AI agency (fixed bid) | Agent platform you configure | In-house AI engineer | |
|---|---|---|---|---|
| What you get | A custom agent in your stack, and the developer who keeps improving it | An agent built to a spec, then a support retainer | A hosted agent builder; the integrations and edge cases are yours | An employee, if you can hire one |
| Where it runs | Your cloud account, with your model keys | Often the agency's environment until handover | The vendor's runtime | Your cloud |
| Security review | Scoped tool credentials, approval gates and a full audit trail | Per the statement of work | The vendor's controls and SOC 2 report | Whatever your team builds |
| Evals | On every prompt, model and tool change | Often only at delivery | Whatever the platform offers | If your team makes time for them |
| When a model changes | The same developer re-runs the evals and switches | A change order | Wait for the vendor | Your engineer, if they are free |
| Base cost | A flat monthly fee, or an hourly rate for defined work | A project fee plus change orders | Per-seat or per-run fees, plus your team's time | $135,980 median pay for a US software developer (BLS, May 2025), before benefits |
| Time to start | 48 hours | Weeks: proposal, statement of work, kickoff | Days to sign up, weeks to integrate | 3 to 5 months to hire |
The comparison describes how each option usually works, not any one provider. Model and platform usage applies in every option; with us it stays on your own accounts at cost.
Working hours and US time zone overlap
Our team works 09:30 AM - 07:30 PM IST and a project manager is on call 07:30 AM - 11:00 PM IST, Monday to Friday. Here is exactly when that lands for clients in the US, Europe and Australia, your region first.
US Eastern (New York, Boston, Atlanta) - full team online 12:00 AM - 10:00 AM, project manager 10:00 PM - 1:30 PM (next day).Live cover across the edges of your day, your morning and your evening, with a project manager who replies the same business day.
US Pacific (Los Angeles, San Francisco, Seattle) - full team online 9:00 PM - 7:00 AM (next day), project manager 7:00 PM - 10:30 AM (next day).We are online through your evening and overnight, and your project manager sets live calls in your morning so you are never blocked.
UK & Ireland (London, Dublin) - full team online 5:00 AM - 3:00 PM, project manager 3:00 AM - 6:30 PM.
Central Europe (Berlin, Paris, Amsterdam, Madrid) - full team online 6:00 AM - 4:00 PM, project manager 4:00 AM - 7:30 PM.
Australia East (Sydney, Melbourne, Brisbane) - full team online 3:00 PM - 1:00 AM (next day), project manager 1:00 PM - 4:30 AM (next day).
Want it to the half-hour in your own time? Slide through your day and book a slot below.
Why US teams build AI agents with a dedicated developer
An agent is never done at launch. The first version handles the cases you thought of; the next three months are about the ones you did not, plus model updates, new tools and the day a vendor changes its API. A fixed-bid build stops at delivery, which is exactly when the useful work starts.
A dedicated developer keeps the agent improving: reads the failed runs, adds them to the evals, tightens a tool's permissions and moves to a better model when the scores say so. Hiring that person is hard. A US software developer's median pay is $135,980 a year (BLS, May 2025) before benefits, and engineers who have shipped agents to production are among the hardest to find.
The working pattern suits US teams. Your morning standup on Eastern time sets the priorities, the developer builds and runs evals while you are offline, and the results are waiting in a written handover. You own the code, prompts and model accounts from day one, invoices are in USD with a W-8BEN-E on file, and you can stop with seven days' notice.
Recent AI, product, and integration work
EndoDNA: an AI assistant over clinical data
Clinicians ask the BIOS assistant about a patient's labs, DNA reports and history in plain language and get answers streamed in real time, inside a HIPAA-compliant, multi-tenant platform with role-based permissions for five user types.
Read case studySuperintelligence: an AI assistant product
A personal AI assistant for writing, study, health and business questions, with saved and editable history, an incognito mode and subscriptions. Built on OpenAI with Next.js, Node.js and Flutter.
Read case studyTherapyCue: AI help during and after therapy sessions
Live transcription that fails over between providers, AI suggestions while the session runs and SOAP notes drafted when it ends, with a BAA acceptance workflow, audit tracking and automatic logout after inactivity.
Read case studyDescribe the job you want an agent to do
Tell us the task, the systems involved and how you would measure success. Within 24 hours you get a written design with the tools, permissions, approval points and an eval plan, and an estimate on both plans. Your developer can start within 48 hours on Eastern-time overlap.
Who We Help:
For Teams Who’ve Outgrown
Chatbots and Templates
We help engineering, operations, and product teams replace brittle chatbots and manual tasks with AI Agents - designed for scale, reliability, and seamless integration with your real business processes.
This Is for You If:
You're tired of generic bots that miss nuance and break under pressure
You need agents that understand your workflows and data
You're managing fragmented support, sales, or operations manually
You're looking to reduce response time, errors, and burnout
You want custom logic, fallback handling, and full control over AI behaviour
What We Do
AI Agents That Handle Real
Operations - Not Just FAQs
We build domain-specific agents that go beyond answering questions. They reason, decide, and act across workflows and channels.
What We Build:
Autonomous sales agents for inbound lead response
AI support agents for triage, follow-up, and ticket generation
Voice-enabled assistants for IVR and scheduling
Internal ops agents for reporting, data cleaning, and task automation
Multilingual, multi-channel agents (email, chat, WhatsApp, voice)
Built With:
We’re platform-agnostic - if it can be automated, we’ll make it happen.
Where AI Agents Make a Measurable Impact
Sales & Lead Response
Instant replies, qualification, calendar booking - without human delay
Built with: n8n, Make, Zapier, and custom API orchestration
Customer Support
Triage queries, update CRMs, generate tickets, escalate intelligently
Powered by: Chat-GPT, LangChain, OpenAI, Gemini
Voice IVR Agents
Smart, conversational IVRs that solve, not just redirect
Tech behind the scenes: OCR, LLMs, vector search, Pinecone
Internal Operations
Generate reports, clean data, run daily workflows on command
Built using: Twilio, Vapi, Retell AI, Telegram, OpenAI
Knowledge Retrieval
Instantly surface SOPs, docs, and product info with citations
Integrated into: Notion, Data Studio, PowerBI, and more
Our Step-by-Step Process for AI Agent Development at Scale
A Strategic Process to
Build Agents That Think Before
They Talk
Every AI agent we build is grounded in your real data, use case, and operations - not just an LLM prompt.
Discovery & Use Case Mapping
Identify high-impact areas for automation and conversational UX
Outcome: A ROI-driven roadmap aligned with your business goals
Prompt & Agent Design
Craft system-level prompts, memory design, and fallback handling
Outcome: A flexible, future-ready blueprint with no platform lock-in
LLM & Stack Selection
Choose best-fit LLMs, APIs, and hosting models for your needs
Outcome: Quick wins and stakeholder buy-in through targeted POCs
Development & Integration
Build, train, and connect agents into your tools and workflows
Outcome: Fully functional, end-to-end automations in your environment
Testing, Training & Handoff
Validate edge cases, train your team, and iterate based on feedback
Outcome: Full ownership, independence, and a trained internal team
Industries We Build Agents For
AI Agents, Built for the Demands of Your Sector
From agile startups to regulation-heavy enterprises, our bespoke AI agents streamline complex workflows, unify disparate systems and automate repetitive tasks, tailored to the challenges and compliance needs of your sector.
Industries We Serve:
SaaS & Tech Startups
Automate GTM workflows, onboarding, CRM updates, and support escalations.
E-commerce & DTC Brands
Streamline order processing, inventory sync, customer notifications, and returns.
HR & Recruitment Teams
Simplify candidate screening, ATS syncing, and onboarding checklists.
Healthcare Admin & Support
Automate patient intake, scheduling, and compliance tracking securely.
Logistics & Operations Teams
Route orders, sync inventory, trigger dispatch workflows - all in real time.
EdTech Platforms
Automate testing, grading, learner onboarding, and progress updates.
If your operations feel too complex for templates, you're in the right place.
Why Empiric Infotech for AI Agents
More Than Chatbots - We Build Thinking Systems
We don’t do off-the-shelf bots or one-size-fits-all workflows. Instead, we architect bespoke, scalable AI agents that integrate deeply with your existing operations and evolve alongside your business.
What Sets Us Apart:
Deeply Integrated with Your Operations
We architect AI agents that connect to your databases, APIs, and legacy systems-no generic, one-size-fits-all logic.
Privacy-First, Self-Hosted Options
Custom AI agents built to your security standards-GDPR-compliant and deployable on your infrastructure.
Stateful Agents with Robust Fallbacks
Agents retain context, handle errors gracefully, and expose full observability so you always know what’s happening.
Rapid v1 Builds & Real-World Testing
We deliver working prototypes fast, validate them with live data, and iterate to maximize ROI and stakeholder buy-in.
Full Ownership of Logic & Data
You get the complete code, configurations, and datasets-no black boxes, no vendor lock-in, just transparent AI.
Continuous Learning & Optimization
Agents continually learn from interactions and feedback, adapting their behavior to improve accuracy and performance over time.
Tools We Integrate - Built Around Your Stack, Not Ours
Agnostic. Conversation-First Aligned to Your Stack.
We architect AI agents as the central intelligence in your ecosystem, plugging into your existing data sources, APIs, and workflows. Open-source models, enterprise platforms or a hybrid stack: our solutions adapt to your tech environment and deliver one unified, scalable system built around the tools you already use.
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?
Working with Empiric Infotech has been exceptional from start to finish. Their team is incredibly talented, highly responsive, and consistently delivers at a world-class level across UI/UX and back-end development. No matter the challenge or complexity we have brought to them, they have always found a solution. Having a development partner you can fully trust is invaluable, and I would highly recommend them to any company or founder looking for an elite development team.
Founder and CEO Roamate
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
Working with Empiric Infotech has been exceptional from start to finish. Their team is incredibly talented, highly responsive, and consistently delivers at a world-class level across UI/UX and back-end development. No matter the challenge or complexity we have brought to them, they have always found a solution. Having a development partner you can fully trust is invaluable, and I would highly recommend them to any company or founder looking for an elite development team.
Charli SharpFounder and CEO Roamate
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
AI Agents Without Compromising Privacy or Control
What We Deliver:
GDPR-compliant conversational and data workflows
Role-based access controls (RBAC) for sensitive interactions
Self-hosting options for all LLMs, vector stores, and agents
Full audit trails, logging, and data retention policies
Built for teams that need smart agents - and strict compliance.
Let’s Build the Smart System Your
Business Deserves
FAQs
Answers to Common Questions - From Founders, Ops Teams & Tech Leads
Frequently asked questions
It designs, builds and runs AI agents: software that uses a language model to decide the next step and then acts through tools such as your CRM, helpdesk or billing system. Empiric Infotech does this through a remote dedicated developer who works in your repository and cloud, builds each tool with a permission scope, tests every change against evals and keeps a person in the loop for actions that matter.
A flat monthly fee for a full-time developer (160 to 172 hours), or an hourly rate for a defined job such as an eval suite or a model migration, both in USD. Current rates are in the pricing section above. Model tokens and vector database costs go on your own accounts at cost. For comparison, a US software developer's median pay is $135,980 a year (BLS, May 2025) before benefits.
Two hours of live overlap with US Eastern time, 8:00 to 10:00 AM ET (one hour from November to March), and the project manager is available until 1:30 PM ET. Central teams overlap from 8:00 to 9:00 AM CT, and Mountain and West Coast teams run their standup with the project manager and pick up a written handover each morning.
One invoice a month in USD, paid by ACH, wire or card, with a completed W-8BEN-E for your accounts team. Empiric Infotech also has a US office in Bridgeville, Pennsylvania. It is a vendor engagement, so payroll tax and benefits stay off your books.
No. We build on enterprise model access, such as the OpenAI and Anthropic APIs, Azure OpenAI or Amazon Bedrock, whose terms exclude training on your inputs and outputs, and the keys sit in your own accounts. For health data, calls go through a provider that signs a BAA with you.
Yes. Each tool has its own scoped credentials, risky actions need a person's approval, spend and rate caps stop runaway loops, and every run is logged with its tool calls and approvals. That is the evidence a security questionnaire and a SOC 2 auditor look for. The audit itself stays with your auditor.
Whichever fits the job, chosen with you in writing. LangGraph for stateful workflows, the OpenAI Agents SDK or the Anthropic SDK with tool use for simpler agents, CrewAI when distinct roles genuinely help, and MCP when tools should be shared across clients. Models are picked on your evals: Claude, GPT and Gemini, or open models on Bedrock when cost or hosting calls for it.
The first version works on real cases within the first week, and the agent is usually doing production work within the first month, with approvals on anything risky. From there it improves release by release as the eval set grows.
You own it, fully. The NDA and IP assignment are signed before work starts, and the code, prompts, eval sets and model keys live in your accounts from day one. You can stop with seven days' notice, and the first 7 days on the monthly plan are a risk-free trial.
Yes. EndoDNA's assistant, which answers clinicians' questions about labs, DNA and history, was built for a US client by a single dedicated developer, and Superintelligence, a US AI assistant product, by a two-developer team. In Canada, TherapyCue drafts clinical notes from live therapy sessions. Typical US engagements run 6 to 18 months.
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