Agentic AI Consultancy

Agentic AI,
engineered for production.

We design, build, and operate multi-agent AI systems — and the LLM inference & GPU/memory economics that decide whether they're affordable at scale. Enterprise systems depth meets modern AI.

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What we do

Four areas that make or break production agentic AI.

Agentic AI Systems

Multi-agent orchestration, RAG, tool use, evals, and observability — built to run reliably, not just demo.

LLM / GPU Cost Optimization

Profile where GPU memory goes, find the bottleneck, and cut inference cost — quantization, batching, KV-cache sizing.

Distributed Systems

Kafka/CDC streaming, idempotency, retries, back-pressure — the reliability layer agents depend on.

Enterprise & Salesforce AI

Deep experience across Salesforce, MuleSoft, and Heroku — wiring agentic AI into real enterprise systems.

FactSpectra — answers your auditor can check

Grounded document intelligence — ask a question of a document corpus and get an answer an auditor can check. Under the hood it is retrieval-augmented generation with the failure mode removed: every claim carries a quote, and every quote is verified against the source in code before anyone sees it. When the documents don’t answer the question, it says so instead of inventing something plausible.

✓Verified, not promised — a quote that doesn’t resolve in its source is discarded by software, not by a second model
✓A human signs it — every run pauses before publishing, and the report records who approved it and what was rejected on the way
✓Runs in your environment — two containers and one Postgres inside your VPC, with local embeddings, so documents never leave the account

LangGraph Claude Hybrid RAG — pgvector + Postgres FTS + RRF Local ONNX embeddings Human-in-the-loop gate

Visit factspectra.ai → Try the live demo

Every claim, before anyone sees it

Quote resolves in its sourcekept

Quote doesn’t resolvedropped

Documents are silent“unsupported”

claim + quote → found in source ✓ kept

claim + quote → no match ✕ dropped

Decided in code, not by a second model — then a person signs it.

Agentic AI,engineered for production.