Engineers first. AI where it earns its place.
Why we exist.
Most AI projects stall between the demo and production.
A model and a prompt can impress a room in an afternoon. What decides whether it works on a Monday morning is everything around it: the data, the retrieval, the evals, the integrations and the people who keep it running. Engineers at Google described this in 2015: the model is a small part of a real system, and the rest is where the work and the risk sit.
We started Agentix to build that part properly, and to build the products, websites and interfaces around it, so you don’t need three different partners.
Source: Sculley et al., Hidden Technical Debt in Machine Learning Systems, NeurIPS 2015.
What we believe.
Production over demos
If it can’t run in your business, it isn’t done. Every engagement ends with a runbook.
Measure everything
Evals before prompts, numbers before opinions. How we measure a RAG system.
[Small senior teams]
[The people you meet are the people who build.]
Honest numbers
Every number we publish is real, or it isn’t published. Our work page starts empty.
Your data stays yours.
- Agreements
- [NDA on request, before the first call]
- Training
- [We never train models on your data]
- Access
- [Least privilege, removed at handover]
- Residency
- [Options on request]
- India
- [DPDP Act 2023 duties mapped in the contract]
Reach a person.
Email
Where we are
[City, Country] · working globally, India is our second market
Since
Incorporated 6 February 2026
Elsewhere
[LinkedIn] · [GitHub]