Custom agents engineered for your workflow, your data, your guardrails.
Off-the-shelf agents won't fit the workflows that actually matter inside your enterprise. We design, build, and deploy bespoke agents — with the engineering discipline of production software, not demo-ware.
Six phases.
Eval-first throughout.
Discovery
Map the workflow, the data sources, the success metrics, the regulatory boundaries, and the human-in-the-loop checkpoints.
Architecture
Choose models, tools, retrieval strategy, memory, orchestration framework. Document the agent contract before code.
Build
Implement with eval-first discipline. No prompt change ships without measurement against the eval set.
Evaluate
Accuracy, latency, cost, fairness, robustness, drift. Eval harness shipped alongside the agent — not as an afterthought.
Deploy
Production hardening: rate limits, tool guardrails, audit logging, monitoring, escalation paths, rollback plan.
Operate
Continuous eval against new data, prompt and tool refinement, capability expansion — co-piloted with your team or fully managed.
The toolkit we ship from.
Foundation models
Claude (Anthropic), GPT (OpenAI), Gemini (Google), open-source (Llama, Mistral, Qwen). Picked per workload.
Orchestration
LangGraph, CrewAI, AutoGen, or custom — whichever fits the workflow shape and team's ops maturity.
Tooling protocol
Model Context Protocol (MCP), function calling, custom tool servers. Tool design is half the engineering.
Retrieval
Hybrid (BM25 + dense), reranking, contextual retrieval. Vector DBs: pgvector, Qdrant, Pinecone, Weaviate.
Memory
Episodic, semantic, working — designed per use case. We don't bolt on memory because it's fashionable.
Evaluation
Custom eval harnesses with golden sets, LLM-as-judge, and human-rater workflows. Drift detection built in.
Observability
LangSmith, Langfuse, Phoenix, or your existing APM. Every prompt, tool call, and decision is traceable.
Deployment
Your VPC, on-prem, or our managed cloud. Models on-host where data residency demands it.
What you get
at handoff.
The agent
Production code, in your repo, in your stack. No black boxes, no licensed runtime.
The eval harness
A test suite that says "is this agent better than yesterday's version" — with regression detection.
The runbook
On-call runbooks, escalation paths, prompt-update procedures, eval-drift response.
What bespoke agents
ship in practice.
IT services firm, RFP response agent
A services firm answered 300+ RFPs per year. Each response took 60+ hours across SMEs. They wanted to compress that cycle without diluting quality.
Bespoke RFP agent that pulls from a knowledge base of prior responses, drafts section-by-section, and assigns SME reviews where confidence is low. Cut first-draft time by 75%; SMEs now edit, not author.
Manufacturing firm, supplier-doc analysis
A supplier qualification process required reviewing 80+ pages of documentation per supplier across financials, compliance, technical capability. 6+ hours per file.
Agent that extracts, classifies, and scores supplier docs against the firm's qualification rubric. Cut review time to 45 minutes per supplier with a human approval at each scored dimension.
Have a workflow
you've been wanting to automate?
Send us the workflow. We'll come back with an architecture sketch and a build plan.