RAG Pipelines
Retrieval-augmented generation with vector databases, hybrid search and reranking.
AI & Data
AI Agent Development
Agents that do real work against your systems — retrieval grounded in your knowledge, tools they can actually call, and the guardrails and evals to ship them safely.
Built for your business
AI Agents That Actually Get Work Done
From customer support copilots to autonomous research agents — we build LLM-powered systems that ship to production safely.
Tool Use & Function Calling
Agents that call APIs, search, run code and act on enterprise systems.
Multi-Agent Orchestration
LangGraph, CrewAI and Agent SDK orchestration for complex workflows.
Model-Agnostic
GPT, Claude, Gemini, Llama and Mistral — chosen per task, swapped without rewrites.
Safety & Guardrails
Jailbreak resistance, PII redaction, output validation and policy enforcement.
Observability & Evals
Tracing, eval suites and red-teaming so you ship with confidence.
What we deliver
AI Agent Development Services We Offer
Start with the capabilities you need today. We define the scope, integrations, and acceptance criteria together before delivery begins.
Custom AI Agent Development
Bespoke agents built around your workflows, knowledge, and business systems.
RAG Implementation
Vector DBs (Pinecone, Weaviate, pgvector), hybrid search, and reranking pipelines.
Conversational AI & Chatbots
Multi-turn chat agents for support, sales, and internal productivity.
AI Copilots & Assistants
In-app copilots that draft, summarize, and act inside your product or workflow.
Multi-Agent Systems
Orchestrated agent teams using LangGraph, CrewAI, and AutoGen.
Voice AI & IVR Agents
Realtime voice agents with Twilio, Deepgram, ElevenLabs, and OpenAI Realtime.
LLM Fine-Tuning
Domain adaptation via SFT, DPO, and LoRA on open-source and proprietary models.
Prompt Engineering
Production-grade prompt design, few-shot, and chain-of-thought techniques.
AI Workflow Automation
Automate document processing, research, and back-office workflows end to end.
AI Safety & Guardrails
PII redaction, jailbreak prevention, output validation, and policy enforcement.
Eval & Observability
LangSmith, LangFuse, and custom eval suites for quality and regression testing.
AI Agent Maintenance
Model upgrades, prompt iteration, eval monitoring, and incident response.
From brief to delivery
A clear path from the first conversation.
A practical process with agreed milestones, regular reviews, and a handover your team can use.
- 01 /
Use-Case Design
Define the agent's job, success criteria, tools, and escalation paths.
- 02 /
Prototype
Working PoC in 2–3 weeks with realistic data and evals.
- 03 /
Production Build
Hardened pipelines, guardrails, observability, and integrations.
- 04 /
Operate & Improve
Continuous evals, prompt iteration, and safety monitoring.
Tools of the trade
The right technology for the work.
We choose tools around your existing systems, requirements, and long-term maintenance needs. The final stack follows the project.
- OpenAI
- Anthropic Claude
- Google Gemini
- Meta Llama 3
- LangChain
- LangGraph
- CrewAI
- AutoGen
- LlamaIndex
- Pinecone
- Weaviate
- pgvector
- LangSmith
- LangFuse
- Anthropic Agent SDK
- Vercel AI SDK
Before we begin
Your questions, answered.
What to know about ai agent development, from project scope to ongoing support.
01What are AI agents?
AI agents are LLM-powered systems that can reason, plan, use tools, and take actions to complete multi-step tasks autonomously or with human oversight.
02Which LLMs do you work with?
GPT (OpenAI), Claude (Anthropic), Gemini (Google), Llama, Mistral, Cohere, and self-hosted open-source models — chosen per task.
03Will my data be used to train models?
No. We use enterprise-grade APIs with no-train policies (OpenAI, Anthropic, Azure OpenAI) or self-host open-source models entirely on your infrastructure.
04How accurate are AI agents?
It depends on the task. With proper RAG, tool use, evals, and human-in-the-loop design, production agents can hit 90%+ task success on well-scoped problems.
05How long does an AI agent project take?
A working PoC usually ships in 2–4 weeks. Production-grade agents with guardrails and integrations typically ship in 8–16 weeks.
06How do you prevent hallucinations?
RAG over verified sources, output validation, citations, confidence scoring, and structured outputs — combined with rigorous eval suites.
07Do you support voice and multimodal agents?
Yes. We build voice agents with OpenAI Realtime, Deepgram, ElevenLabs, and multimodal agents that handle text, image, and audio.
Keep exploring
The next pieces of your project.
Connected services, delivered by the same team.
A conversation is a good start
Let's talk about ai agent development.
Tell us what you want to build or improve. We will help clarify the scope, the approach, and the next step.