# Synq AI

> Synq AI deploys the data intelligence layer that captures how your enterprise actually works - workflows, decisions, tribal knowledge - and makes it queryable by every AI agent, engine, and automation. One deployment. Full enterprise context. 30 days.

## Full Content

For the complete, detailed version of this file (all pages, full descriptions): https://synqflow.ai/llms-full.txt

## Company

Synq AI is an enterprise AI infrastructure company building the data intelligence layer that sits beneath all AI agents inside an enterprise. The layer captures workflows, decisions, and expert reasoning from every tool in a company's stack, then exposes it via a single Context API so every AI agent - BD, Finance, HR, Data, Physical Operations - can query real enterprise knowledge in real time.

Founded by Pratik Sud, CEO of Synq.Work, a multi-crore ARR enterprise managed office platform operating across 500,000+ sqft in India (NCR, Mumbai, Chennai). Synq AI is built on and proven in this live enterprise before being deployed in others.

## Core Product

### Synq Context (Platform)
URL: https://synqflow.ai/platform

The data intelligence layer deployed inside an enterprise in 30 days. Six components:
1. Ingestion Pipeline - connects to 50+ enterprise systems (CRM, HRMS, ERP, comms)
2. Knowledge Graph - queryable map of entities, relationships, and decision patterns
3. Expert Reasoning Capture - encodes judgment and decision logic of senior experts
4. Context Query Engine - natural language interface for AI agents to query enterprise knowledge
5. Context API - standard REST API for any AI system to access enterprise context on demand
6. Self-Improvement Loop - every agent query and outcome feeds back to improve accuracy

## AI Engines
URL: https://synqflow.ai/engines

Five productized AI engines built on top of Synq Context:
- BD Engine: pipeline generation, prospect research, deal tracking, outreach automation
- Finance Engine: automated reporting, anomaly detection, forecast modelling
- HR Engine: candidate screening, onboarding automation, culture fit scoring
- Data Engine: multi-source aggregation, natural language data queries, automated dashboards
- Physical Ops Engine: facility scheduling, maintenance prediction, space optimisation

## Enterprise Offering
URL: https://synqflow.ai/enterprise

Full enterprise deployment including Synq Context + all five engines + dedicated AI talent pod. Serves large enterprises, Defence & Shipbuilding, Aerospace & Engineering.

## Solutions
URL: https://synqflow.ai/solutions

Industry-specific solutions:
- Enterprise Intelligence: context layer for large enterprise operations serving global businesses
- Defence Intelligence: design validation, compliance, drawing intelligence for DPSUs
- Aerospace MRO: asset lifecycle, maintenance logs, technical documentation AI

## Products
URL: https://synqflow.ai/products

Full product portfolio including Synq Context, enterprise engines, Context API, and data licensing.

## How It Works
URL: https://synqflow.ai/enterprise

30-day deployment operating model:
- Week 1: Audit & Connect (stack audit, ingestion pipeline, data mapping)
- Week 2: Build the Layer (knowledge graph, entity mapping, expert reasoning capture)
- Week 3: Deploy Engines (first AI engine live, Context API active)
- Week 4: Optimize & Scale (calibration, additional engines, team training)

## Data Licensing

The same layer that runs the enterprise produces Type 3 enterprise workflow data - real decisions, real outcomes, real tribal knowledge. Licensed to frontier AI labs. Comparable: Reddit licensed data to Google ($60M/yr) and OpenAI ($70M/yr).

## Business Model

- Revenue stream 1: Enterprise deployment fees (SaaS + implementation)
- Revenue stream 2: Data licensing to AI labs (Type 3 enterprise workflow datasets)
- The data flywheel: enterprises pay to deploy → workflows captured → Type 3 data → licensed to labs

## Research & Labs
URL: https://synqflow.ai/synq-labs

Synq Labs research focus:
- Enterprise context capture at scale
- Expert reasoning formalisation
- Workflow-to-dataset pipelines
- Type 3 data quality and provenance

## Security & Governance
URL: https://synqflow.ai/security

Human approval gates on every consequential AI action. Data stays inside the enterprise perimeter. No model training on customer data. SOC 2 aligned controls.

## AI Talent
URL: https://synqflow.ai/ai-talent

Pod model: each enterprise deployment includes four embedded AI specialists - a Context Architect, Engine Engineer, Data Scientist, and Deployment Lead.

## Resources
URL: https://synqflow.ai/resources

Whitepapers, case studies, and technical guides on enterprise AI infrastructure.

## Blog

- Why Enterprise AI Pilots Fail: https://synqflow.ai/blog/why-enterprise-ai-pilots-fail
- India Enterprise AI & Training Data: https://synqflow.ai/blog/india-gccs-ai-training-data

## Credibility

- Built on Synq.Work: live multi-crore ARR enterprise, 500,000+ sqft
- Applying: Y Combinator S26
- Applying: iDEX DRISHTI (Ministry of Defence, India)
- Built with: Anthropic Claude
- Network: 60+ C-suite executives

## Integrations

50+ connectors: Salesforce, SAP, Oracle, Microsoft 365, Google Workspace, Slack, Jira, Notion, WhatsApp, HubSpot

## All Pages

- Home: https://synqflow.ai
- Platform (Synq Context): https://synqflow.ai/platform
- Enterprise: https://synqflow.ai/enterprise
- Solutions: https://synqflow.ai/solutions
- Engines: https://synqflow.ai/engines
- Products: https://synqflow.ai/products
- Synq Labs: https://synqflow.ai/synq-labs
- Security: https://synqflow.ai/security
- AI Talent: https://synqflow.ai/ai-talent
- Resources: https://synqflow.ai/resources
- Careers: https://synqflow.ai/careers
- About: https://synqflow.ai/about
- Contact: https://synqflow.ai/contact
- Sitemap: https://synqflow.ai/sitemap.xml
- Full LLM text: https://synqflow.ai/llms-full.txt

## Contact

Website: https://synqflow.ai
Book a working session: https://synqflow.ai/contact