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Build AI-powered applications faster with unified agents, RAG, workflows, model routing, and enterprise integrations — all in one multi-tenant platform.

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OpenAI · Claude · Gemini · Groq · Mistral · Custom routing by cost, latency, or policy.

RAG

Agents

Workflows

Tools

Integrations

Multi-tenant by design

Model-agnostic orchestration

Enterprise-grade security

Agents, workflows, memory (RAG), tool execution, and integrations in one platform so teams ship faster.

Combine cloud models with self-hosted PyTorch/Keras/ONNX. No lock-in; route by cost, latency, or capability.

Tenant isolation, RBAC, auditability, encrypted credentials, and governed model access out of the box.

Smart model routing and usage tracking help control spend while meeting SLA and latency targets.

Connect OpenAI, Claude, Gemini, and self-hosted models; route requests by cost, latency, capability, or business policy.

Document ingestion, embeddings, vector search, knowledge management, and tenant-isolated context retrieval on PostgreSQL + vectors.

Schema-driven, validated, auditable actions across APIs, databases, CRMs, ticketing, email, and custom functions.

Blend AI reasoning with business logic, human approvals, and integrations. Trigger via API, webhook, schedules/cron, events, or internal agents.

Deploy specialized agents (support, sales, knowledge, devops, content) that collaborate, share memory, and invoke tools.

Tenant isolation, role-based permissions, usage tracking, and model governance for SaaS, enterprise, and MSP scenarios.

Inbound: REST, webhooks, scheduled tasks, events. Outbound: APIs, webhooks, business systems, messaging platforms, custom connectors.

Knowledge-grounded support agents tied to ticketing systems and customer records.

Natural-language search across documents, policies, and procedures for employees.

Blend AI reasoning with business approvals and system actions.

Ship AI products without rebuilding infra for each tenant.

Autonomous agents that retrieve, decide, and act with auditability.

What is Synapse and who is it for?

An AI middleware platform for developers, integrators, and solution teams to build, connect, and manage AI apps without stitching many services.

What can I build?

AI chatbots, knowledge assistants, document search/RAG, customer support automation, internal business assistants, AI workflows, API-based AI services, multi-agent systems, and multi-tenant SaaS.

Do I need to write code?

Many features are configurable via the UI; developers can also use the REST API to integrate and automate.

How are projects and data handled?

Projects group tables, agents, integrations, and workflows. Import data, enable vector search, and keep tenants isolated.

How do agents access models and databases?

Agents can use different LLMs per need and can be permissioned to read/write specific tables securely.

Which integrations and providers are supported?

Encrypted credentials for AI providers (OpenAI, Anthropic, Groq, Mistral, more), email (Maavee SMTP, Gmail, Outlook), APIs, databases, and business systems.

Can it process documents and support RAG?

Yes. PDFs and DOCX can be ingested, embedded, and searched; agents retrieve context via RAG.

How is access secured?

API keys authenticate requests; traffic is HTTPS; credentials are centralized and encrypted; actions are auditable.

Is there a REST API?

Nearly every UI feature is available via REST to embed agents and workflows in your apps.

Deployment options?

Enterprise-ready; deployment options (including on-prem) depend on environment and licensing. Contact us to discuss.

Where do I get help?

Documentation, tutorials, and Maavee Synapse support channels are available for onboarding, bug reports, and feature requests.

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