The open-source platform
for AI operations
Build AI workflows from open-source models, deploy them as APIs for any device, and let the platform's own AI tell you exactly what's working, what's breaking, and what's costing you money.
The Problem
A developer wants to add AI to their app. They need a model hosting service, an API gateway, a way to chain models, LLM observability, product analytics, a cost dashboard, and manual correlation of all of the above. That's 7 tools, 7 dashboards, 7 billing accounts, and zero intelligence connecting them.
The Solution
Sinapsis AI is the unified AI operations platform. One place to build AI workflows from open-source models, deploy them as APIs for any device, observe both AI metrics and user behavior in one dashboard, and let the platform's own AI tell you exactly what to optimize.
The Vision
Every company will be an AI company. They'll need infrastructure to build, spaces to collaborate, tools to understand, and intelligence to optimize. Today, that takes 7 tools and a dedicated platform team. With Sinapsis AI, it takes one.
What We Stand For
Open Source First
Every dependency we choose prioritizes open-source, self-hosted alternatives. No vendor lock-in. You get full ownership of your stack, your models, your data.
Four Layers, One Platform
Build, Deploy, Observe, and Optimize, all unified in a single platform. No more 7 tools, 7 dashboards, and zero intelligence connecting them.
Community Marketplace
Public workflow templates create network effects. Every contribution makes the platform smarter for everyone, creating the Shopify App Store effect for AI pipelines.
Security & Compliance
Self-hosted deployment, GDPR compliance, SOC2 readiness, SSO/SAML, audit trails, and PII masking built in from day one.
AI + User Intelligence
The connection no one else makes: AI performance metrics linked to user behavior data. Know what's working, what's breaking, and what's costing you money.
AI That Optimizes AI
The platform uses its own AI to analyze your workflows and generate actionable recommendations: model swaps, threshold tuning, and cost optimization.
Why Open Source Wins
Trust & Transparency
Companies deploying AI need to audit what touches their data. Open source means full transparency. Inspect every line of code that processes your models and user data.
Community Distribution
Community adoption drives organic growth and enterprise conversion. This is the PostHog, GitLab, and Supabase playbook, proven at scale.
Ecosystem Moat
Community-contributed model integrations, workflow templates, and analytics plugins become a compounding advantage that no closed-source competitor can replicate.
Self-Hosted Freedom
GDPR, AI Act, and HIPAA all require enterprises to know where their data goes. Self-hosted is no longer a nice-to-have; it's a compliance requirement.
Ready to Build?
From model to user: build, deploy, observe, and optimize AI in one platform.