Cloud, VPC, or on-prem
Run Timbal on AWS, Azure, GCP, inside your VPC, or fully on-premises. The same API and governance model follow every deployment.
Cloud deployment option: Amazon Web Services
NEWSay hello to Timbal Compose
The end-to-end AI ecosystem for enterprises
Build, deploy and scale production AI agents, workflows and interfaces. From prototype to production in weeks, not years.
Trusted by enterprise teams across industries
The full AI stack. One platform.
Seamless integration, limitless possibilities.
Agents
Autonomous AI for real work. Reasoning, tools and memory, production-ready.
Workflows
Deterministic AI pipelines. Chain steps, branch on logic, guarantee outcomes.
SAP
AnthropicInterfaces
Custom interfaces for every AI you ship. From chat to dashboards to voice.
Hover to see the AI edit flow
Knowledge bases
Enterprise-grade RAG, built on a hybrid DB engine. Sync, chunk, retrieve.
product-specs.md
Ask product-specs…Integrations
100+ native connectors. SAP, Salesforce, Slack, Teams, Drive, Jira and beyond.
API
Ship an AI application, get an API. Auto-generated, live instantly.
We built the features everybody missed.
All in one place. Owned by you.
Everything you buildis exportable code.
No black boxes. No vendor lock-in. Every agent, workflow, and integration compiles down to clean code you can read, edit, run locally, and self-host.
ACE: Proven reliability, at a fraction of the cost.
The Action Control Engine is a behavioral runtime that keeps agents consistent in production, dropped in as a proxy in front of any LLM.
+30%
Reliability gain
vs. baseline
0.1×
Cost per run
vs. baseline
Proprietary technology, not a wrapper.
Our set of developer-first products enhances the overall building experience. AI Framework, Hybrid DB engine, ACE, CLI, SDK, and MCP, all built in-house, all working together.
Three layers. One platform.
Data, intelligence, and interface — a clean separation that scales from a single agent to enterprise-wide AI infrastructure.
Deploy anywhere, no compromises.
Our cloud, your VPC, or your own ones. Multi-tenant, dedicated, or fully on-premise. Optimized for portability, scalability and performance.
100+ integrations. Every MCP. Custom tools.
Connect to your existing stack out of the box, plug in any MCP server, or build custom tools and integrations in minutes.
Replace your entire AI tooling stack.
One platform. Ten line items removed.
Stop paying for, integrating, and maintaining a dozen disconnected tools. Timbal consolidates the full AI infrastructure stack into a single platform.
Infrastructure & deployment
- Vercel
- Railway
- Render
- AWS
- Docker
Agentic frameworks
- LangChain
- Haystack
- CrewAI
- Pydantic AI
- Agno
Workflow builders
- n8n
- Pipedream
- Zapier
- Make
UI / frontend
- Streamlit
- Gradio
- Next.js
- v0
- Lovable
Databases & vector stores
- Pinecone
- Snowflake
- Milvus
- Weaviate
- Chroma
- Qdrant
- LanceDB
LLM routing
- LiteLLM
- Martian
- Helicone
- OpenRouter
Observability & tracing
- LangSmith
- Weights & Biases
- Arize Phoenix
- PromptLayer
Governance & integrations
- Guardrails AI
- Arthur
- Unstructured
Customer stories
What teams build with Timbal.
How teams ship production AI: workflows, agents, and outcomes at scale.
- Benito
Our agents talk to SAP, our drive and our knowledge base - no glue code, no second integration team.
Benito · Our agents talk to SAP, our drive and our knowledge base - no glue code, no second integration team. · [Customer name] · [Role · Benito]
Built to pass the security review.
Choose where Timbal runs, keep control of model keys, and give security teams the evidence they need.
Governance and compliance
Security evidence, encryption at rest and in transit, audit logs, and compliance documentation are ready for review without slowing the rollout.
SOC 2 Type II
ISO 27001
GDPR
EU AI Act
* SOC 2 Type II audit in progress.
EU data hosting
Choose EU region deployments for storage and processing. Keep data residency aligned with GDPR requirements and your contractual controls.
Model agnostic
Route each task to the model that fits it: OpenAI, Anthropic, Google, Mistral, Llama, or any OpenAI-compatible endpoint. Change providers without redesigning the app.
Built for Developers
Built by developers, for developers.
ACE
Behavioral runtime in front of your LLM. Same input, same path. Ship rules, not prompt hacks.
Python framework
The fastest Python stack for agents and workflows. Open source, stream-native, tracing and MCP included.
Hybrid DB
Vectors, full-text, and SQL together. LanceDB plus DuckDB, one plan for search and rollups.
TypeScript SDK
Your workforce and knowledge bases from React, Node, or Bun. One client everywhere.
MCP
Point tools at api.timbal.ai/mcp. Your workforce and KBs, no glue code.
$ timbal init my-agent$ timbal deploy --env prod→ deployed: customer-support-v3→ url: api.timbal.ai/agents/cs-v3CLI
Auth, scaffold, run locally with UI, push to cloud. One binary, no Docker or Python install first.
Product tour
Everything you need to ship and run agents in production.
Deploy agents without owning the infrastructure.
Run agents on Timbal-managed infrastructure across regions. Choose machine size, scale automatically, and roll back any deploy in one click.
Primary Machine
North EU (Stockholm)
Region
eu-north-1
Instance
tim.ctm
Provider
Amazon Web Services
Running
Uptime 99.99%
Understand every agent run from prompt to outcome.
Inspect traces, tool calls, model usage and failures without leaving the platform. Teams can debug production behavior and explain decisions with confidence.
Separate experiments from production systems.
Give builders space to test while production stays governed. Promote versions across environments with the same controls your engineering team already expects.
Development: Fast iteration
Bring agent changes into the review workflow.
Connect Timbal changes to branches and pull requests so every agent, workflow and configuration update can be reviewed before it reaches production.
Merge pull request #184
release/support-agent-v4 into main
chore: bump workflow schema
origin/feature/kb-hybrid
fix: approval step timeout
pipelines/enterprise-oncall
feat: add MCP tool registry
timbal-ai/studio-config
Fully managed deployments: Deploy agents without owning the infrastructure.
FAQ
Common questions about Timbal
Timbal is the production AI platform enterprise teams use to build, deploy, and govern agents, workflows, and knowledge bases. Define behavior in code or in Studio, run on the model and provider of your choice, and ship to chat, email, voice, and your product UI from a single runtime.
