Synchronized AI for Engineering Decisions.
SYNASE AI connects product planning with technical implementation, closing the gap between what teams want to build and how it should be engineered.
Why This Is Not a Chatbot
A standard chatbot gives quick text answers without understanding your codebase. SYNASE AI is different because it connects directly to your requirements, code repositories, and cloud setup to deliver structured, verified engineering decisions.
Fast & Compact Data Exchange (TOON)
Uses a specialized compact data format (TOON) to communicate between AI models and review tools. This cuts prompt overhead by up to 64% while keeping validation fast, accurate, and completely reliable.
How the System Works Together
Seven coordinated components connect your specifications, codebase, and cloud deployments.
User Request & Specifications
Accepts product requirements, architecture questions, and repository URLs with live validation.
Secure API Gateway
Validates incoming tokens and requests, keeping all communications encrypted and isolated.
Decision Orchestrator
Routes analysis tasks to specialized AI models and aggregates their verdicts into consensus.
Product & DevOps Reviewers
Specialized models analyze product requirements, code complexity, and deployment risks in parallel.
Unified Project Memory
Connects code trees, database schemas, and documentation without storing private source code.
Decision Synthesizer
Produces clear, human-readable decision reports, verified code patches, and rollback safety plans.
Cloud & Git Integrations
Connects securely to GitHub, GitLab, Kubernetes, and monitoring tools over open protocols.
Particulars of Inventors
Department of Computer Science & Engineering (Artificial Intelligence) · ABESIT
Satyam Singh
[Team Lead]Focus: Lead architect of the Central Orchestrator, MCP V2 Engine and TOON logic, Chroma DB
Rudrakshi Nailwal
Focus: AI Architect — Product & DevOps Intelligence Layers Integration, Frontend Developer, Neo4j DB, TOON logic
Saurya Kapoor
Focus: MCP V2 Engine, Frontend Developer, Product & DevOps Layers Integration — External MCP Integrations, Postgres DB
Ratna Srijan
Focus: Product Layer, Neo4j DB, Chroma DB, DevOps Layer Integration — Research & Testing