Resources
Everything you need to evaluate and deploy Synq AI.
Methodology documentation, the production proof story, security framework, research from Synq Labs, and direct access to our team.
How It Works
Our four-phase deployment model - Discover, Design, Deploy, Measure. How we go from first conversation to a production AI engine in 30 days.
The Engines
Deep documentation on all five AI engines - BD, GTM, HR, Data, and Finance. Inputs, outputs, automations, and KPI benchmarks for each.
Security & Governance
Our security framework - human-in-the-loop controls, audit trails, data isolation architecture, access controls, and incident response protocols.
About Synq AI
Who we are, how we think about AI deployment, and why we built this the way we did. The team, the approach, and the thesis behind how we build and prove AI in production.
Talk to us
A working session, not a sales call.
In 60 minutes, we diagnose your highest-leverage workflows, identify where AI creates compounding value, and scope the first engine deployment - with concrete next steps, not a generic deck.
Book a working sessionHow long does a deployment take?
First engine live within 30 days. Full multi-engine deployment typically 60–90 days.
Do you work with companies outside India?
Yes. Our primary market is India-headquartered enterprises, but we work globally.
What do we need to get started?
A working session. We'll map your workflows and scope the right first engine based on your actual situation.