About Synkora

The Open-SourceAI and LLM Platform

Synkora is the platform layer for building, deploying, and operating AI agents, LLM workflows, and model-powered products - with your own providers, your own data, and infrastructure you control.

Own your stack
Open-source by default
Build once
Deploy across channels
Run in production
Tenants, APIs, controls
Our Mission

Make AI products easier to build and easier to own

Most teams do not need another framework demo. They need a real platform that can manage agents, LLM providers, knowledge, tools, tenants, billing, and deployment channels without stitching everything together from scratch.

Synkora exists to give teams that platform: an open-source foundation for AI products and LLM applications that can move from prototype to production without switching stacks halfway through.

Platform Layer

A single control plane for agents, prompts, tools, channels, billing, and multi-tenant workspaces.

API-First Foundation

REST, SSE, and real-time interfaces for chat, automations, and product integrations across your stack.

Built for Production

Tenant isolation, keys, quotas, observability, and deployment channels designed for real teams and real workloads.

LLM-Native Runtime

Model routing, prompt controls, knowledge retrieval, and tool execution in one platform instead of scattered infrastructure.

Platform Focus

Built around platforms, not just prompts

Synkora is designed for teams that need a durable foundation for AI products, not a collection of disconnected experiments.

PLT

AI Platform

Centralize agent management, tenants, billing, APIs, and operational controls in one product surface.

LLM

LLM Platform

Work with your own model providers, route intelligently, and keep cost and quality controls close to the application layer.

DEP

Deployment Platform

Ship once to web, chat surfaces, internal tools, and APIs without rebuilding the product for every channel.

Builder Story

Built by Raju Mazumder

Synkora was created by Raju Mazumder to solve a platform problem: teams wanted to ship AI products and LLM-powered systems, but the infrastructure story was fragmented, repetitive, and too easy to outgrow.

The result is an open-source platform focused on operational reality - APIs, multi-tenancy, agents, knowledge, integrations, deployment surfaces, and the controls needed to run AI seriously.

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Ready to build on Synkora?

Start with the platform foundation now, then scale into agents, knowledge, integrations, and deployment channels without switching stacks.