atombit

LLM & AI AGENT DEVELOPMENT

LLM & AI Agent Development

Custom LLM apps and autonomous agents — grounded in your data, built for production.

We design, build and operate custom LLM applications and autonomous AI agents — copilots, RAG knowledge engines, tool-using agents and multimodal voice/vision systems. Grounded in your own data, wired into your CRM/ERP, and engineered with evals, guardrails and full observability so they survive production, not just a demo. Built on OpenAI, Anthropic Claude, LangChain, Hugging Face and modern agent frameworks.

6
AI capability types
100ms
Avg agent response
GPT-4 / Claude
Foundation models

WHAT WE DELIVER

Everything included in a production engagement.

Custom copilots & RAG engines grounded in your data
Autonomous tool-using agents (function-calling / MCP) wired into your systems
Fine-tuning, evals, guardrails & observability for production reliability

01

What we deliver

  • Custom LLM apps — domain copilots, assistants and chat over your data
  • RAG pipelines (pgvector / vector DBs) with citations and freshness
  • Autonomous agents that plan, call tools and complete real workflows
  • Agentic tool-use & Model Context Protocol (MCP) integrations
  • Fine-tuning, prompt versioning, eval harnesses and guardrails
  • Cost & quality observability — tokens, latency, accuracy dashboards

02

Who it's for

  • Operators automating knowledge work and internal decisions
  • SaaS founders embedding AI copilots into their product
  • Support / sales teams needing grounded, auditable AI — not hallucinations
  • Enterprises moving from AI pilots to production-grade systems

HOW WE ENGAGE

From first call to production in 14 days.

01

Architecture Review

60-min session. We map your system, surface risks, and present a scoped blueprint — yours to keep.

02

Statement of Work

Scope, timeline, milestones and IP terms confirmed in writing within 48 hours. Mutual NDA included.

03

Build & Integrate

Sprint-based delivery with weekly demos. No surprise scope creep. You see progress every week.

04

Launch & Operate

Production rollout, monitoring setup, SLA and an optional managed operations retainer.

FREQUENTLY ASKED

Common questions about LLM & AI Agent Development.

What's the difference between a chatbot and an AI agent?
A chatbot answers questions. An AI agent plans, reasons, calls tools (APIs, databases, code execution) and completes multi-step workflows end-to-end with minimal human input. atombit builds agents that operate inside your actual systems — not isolated chat interfaces.
Which LLM foundation models do you work with?
We build with GPT-4o, Claude Sonnet/Opus, Mistral, Llama 3 and open-source models depending on your data residency requirements, cost targets and performance needs. We are model-agnostic and recommend the right foundation for your specific use case.
Can you fine-tune an LLM on our proprietary business data?
Yes. We handle dataset preparation, fine-tuning, evaluation and deployment. All fine-tuned model weights remain your intellectual property and are stored entirely within your infrastructure — we do not retain copies.
How do you prevent AI hallucination in production agent systems?
We implement RAG grounding, structured output parsing, confidence thresholds, human-in-the-loop escalation and automated eval pipelines. No agent ships without a documented reliability and fallback strategy agreed with the client.

LET'S BUILD

Let's architect
the platform your
business runs on.

60 minutes with a senior architect. Walk away with a clear technical blueprint of your platform — scoped, de-risked and ready to build. No sales rep. No retainer required to start.

Book an Architecture Review →partnerships@atombit.in
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