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Connic

Deploy AI Agents
at Enterprise Scale

Define agents in YAML, write tools in Python, push to Git. We run them. Deployment, scaling, and the connectors into your stack are already wired up. You don't run Kubernetes or maintain integration services.

891,905,189
Connic agent runs this year so far

Build

Composer SDK

Define agents in YAML. Add custom tools when you need them.

Replaces

Models

Bring your own provider key or use EU-hosted connic/* models with Project credits.

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Tools

Predefined integrations, your own code tools, or any MCP server.

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Dev server

connic dev streams every save to a live runner. Test in seconds, not minutes.

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Guardrails

Evaluate untrusted input and final output with block, warn, redact, or custom Python checks.

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Retrieval

Sync documents and source systems, then return scoped passages with stable citations.

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Built-in storage

Retrieval, database, session memory. Nothing for you to provision.

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Deploy

Testing framework

Write assertions for agent behavior. Run them in CI.

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Environments

Dev / staging / prod with isolated secrets and config.

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Private network bridges

Reach internal services without opening firewall ports.

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Managed runtime

Ship versioned agents with deploy gates, keyed concurrency, retries, sessions, and rollback.

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Connectors

Webhooks, queues, databases, schedules. Wire agents to the systems you already run.

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Ship

Observability

Every run traced. Tokens, latency, errors, costs.

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Judges

LLM-as-judge evaluation built into the platform.

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A/B testing

Route traffic between agent variants. Compare outcomes.

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Approvals (HITL)

Pause tool calls for human review before they execute.

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AI governance

Register AI systems, track controls and incidents, and export hash-verifiable evidence.

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Any model. Any system. One platform.

Choose EU-hosted connic/* models or bring your own provider. Connect agents to the infrastructure you already run.

Models
  • Connic Models
  • OpenAI
  • Anthropic
  • Google Gemini
  • Azure OpenAI
  • AWS Bedrock
  • Vertex AI
  • OpenRouter
Connectors
  • Webhooks
  • Cron
  • Kafka
  • SQS
  • PostgreSQL
  • WebSocket
  • MCP
  • Email
  • S3
  • Stripe

Start with Basic. Scale when you're ready.

€25 in free credits. No credit card required.

Basic

€0forever

Try Connic with real agents

  • €25 one-off welcome credit
  • Add credit whenever you need it
  • 3 active connectors
  • 1 environment
Start with Basic

Developer

€40/ month

Ship your first production agent

  • €40 in monthly usage credit
  • 10 active connectors · 3 environments
  • 10 min run timeout
  • 30 day log retention
Start with Developer
Most Popular

Pro

€200/ month

For teams running agents in production

  • €200 in monthly usage credit
  • 40 active connectors · 5 environments
  • 30 min run timeout · custom domains
  • 90 day log retention · priority support
Start with Pro
Compare all plans in detail

Need custom limits or enterprise compliance? Talk to us

Frequently Asked Questions

What Connic is, how it works, and what it costs.

Connic runs production AI agents for you. Define an agent in YAML, write its tools as Python functions, and push to Git. Deployment, scaling, monitoring, and the connectors that wire agents into your stack happen on our side.

No. If you can write YAML and Python, you can ship a production agent on Connic. The platform handles builds, deploys, scaling, and monitoring, so there is no Docker, Kubernetes, or CI/CD pipeline to maintain.

Connectors wire your agents into the rest of your stack. Inbound connectors trigger an agent from a webhook, cron schedule, inbox, message queue (Kafka, SQS), or Postgres event. Outbound connectors push results back to your APIs, services, or S3. Sync connectors handle real-time request/response over WebSocket. You set them up in the dashboard, and Connic runs the integration layer. Read why pre-built connectors beat custom connector work.

Choose an EU-hosted connic/* model with Project credits, or bring your own key for OpenAI, Anthropic, Google, Mistral, AWS Bedrock, Azure OpenAI, and custom OpenAI-compatible endpoints. Swapping models is one line in your agent YAML.

Basic includes a one-time €25 Project credit; Developer and Pro include monthly credit. Runtime, storage, retrieval, and connic/* model tokens use the same balance. Standard Projects can add prepaid credit manually or use auto-refill with a hard monthly cap. Enterprise Projects are invoiced monthly in arrears. There are no per-seat fees; connic/* model prices are listed in the model catalog.

Yes. Upload documents to the built-in Retrieval, paste text, or write to it via API. Your agents query it with semantic search. You don't have to set up a vector database, an embedding pipeline, or a chunking strategy.

Every run is captured: full execution trace, tool calls, LLM prompts and responses, tokens, latency, outcome. Click a run in the dashboard and step through it. Nothing to instrument; observability is on by default.

Yes. Basic has no monthly fee and includes a one-time €25 credit, three active connectors, and the full SDK and dashboard. Stay on Basic and add credit whenever you need it, choose Developer or Pro for monthly credit, or choose Enterprise for custom limits and postpaid billing. No credit card is required to start.