Senior AI Engineers · No Lock-in · Built for SMBs

We Build the AI Your
Operations Actually Need —
Not the One That Looks
Good in a Pitch Deck.

Factiveminds was built on the conviction that production AI is within reach for every serious SMB and startup — without enterprise contracts, junior-heavy teams, or strategy decks that never ship. We build, we hand over, and we leave.

Who We Are

Built to Close the Gap
Between Experiment and Production

Mission

Make production AI accessible to every serious SMB

79% of companies are running AI experiments. Only 11% have agents running in production. That gap exists because the expertise required to close it has been locked inside enterprise consultancies with enterprise price tags. We exist to fix that — one production deployment at a time.

Vision

A world where SMBs compete on AI — not just survive it

The coming decade belongs to the companies that can move fastest from AI experiments to operational AI systems. Our goal is to be the team that gets 500 SMBs across that threshold — with the code to prove it and no retainer required.

Approach

Senior engineers embedded, not advisory partners parachuted in

We reject the model where a partner sells and juniors deliver. Named senior AI engineers are embedded in your team for the duration of the engagement — building alongside you, transferring real capability, and handing over code that runs.

What Makes Us Different

We don't advise. We don't prototype.
We build things that run in production.

🎯

Domain expertise in healthcare and supply chain

We've built clinical knowledge systems for the Government of India and AI analytics for Southeast Asia's largest pharma enterprise. Domain context isn't an add-on — it shapes every architecture decision we make.

🏗️

Production standards from day one, not an afterthought

100% test coverage. Eval loops. Hallucination monitoring. Audit trails. These aren't extras we bolt on before handover — they're the way we build from the first sprint. Your on-call team won't inherit a black box.

🔑

You own the code and the knowledge graph — always

No proprietary platform, no vendor lock-in, no consultant-shaped dependency. When we leave, you have the agents, the RAG pipeline, the knowledge graph, the playbook, and the team trained to run it. No retainer.

📐

Scoped for SMB budgets without SMB ambition ceilings

We've designed engagements that deliver production-grade AI at price points SMBs can actually say yes to. The technology available in 2026 doesn't require a $500K implementation contract — and we prove that on every project.

Agentic AI RAG Systems GraphRAG LLM Integration AI Observability Healthcare AI Supply Chain AI LangGraph CrewAI MCP AWS Bedrock Azure OpenAI GCP Vertex AI AgentOps LLMOps HL7 / FHIR Clinical NLP Databricks Snowflake dbt SAP UI5 PySpark
The Team

Senior AI Engineers.
Domain-Experienced. No Junior Buffer.

Minimum 10 years of enterprise engineering experience. Named on every engagement. You always know who's doing the work.

AI
AI Systems Practice
Agentic AI · RAG · LLM Engineering

15+ years across enterprise software and AI systems. Specialists in LangGraph, CrewAI, MCP, and GraphRAG implementations for healthcare and supply chain domains. Every agent we build is production-ready from day one.

LangGraph CrewAI RAG MCP
OP
LLMOps & Observability Practice
AgentOps · AI Governance · Production AI

Deep experience in AI observability infrastructure: monitoring, drift detection, hallucination guardrails, audit trails, and incident playbooks. We wire AI for production — not just for demos that look right in a slide.

AgentOps LLMOps Guardrails AI
DX
Domain Expertise Practice
Healthcare AI · Supply Chain · Analytics

Former enterprise architects with domain depth in healthcare (HL7/FHIR, clinical NLP, Ministry of AYUSH engagement) and supply chain AI (demand forecasting, inventory optimization, pharma analytics for KALBE Farma).

HL7/FHIR Clinical NLP Supply Chain
Work With Us

Ready to Move from
Experiment to Production?

Book a free 30-minute strategy session. We'll show you what production-grade AI looks like in your specific context — no pitch, no commitment.

Response within 1 business day · No lock-in · You own the code