Build and combine AI models to interpret information, predict outcomes, and guide decisions. Run inference on the infrastructure you choose, and connect models to enterprise knowledge for your applications, workflows, and agents.
Run models on Langstack Infrastructure. Add Knowledge for enterprise context and Autonomy when a task calls for agent-led execution. Use operational signals, business objectives, and feedback to evaluate and improve your models.
Run open and custom models across language, vision, audio, and structured data on your inference clusters. Generate responses, content, and structured outputs, and connect external model APIs through identities when needed.
Connect intelligence to your business
Ground models in enterprise knowledge and operational signals. Connect external applications and agents to Langstack through APIs and MCP, with access governed by identities.
Predict what matters
Produce forecasts, opportunity scores, anomaly alerts, and risk estimates. Use them to prioritise work and inform recommendations and decisions around the business objectives you define.
Combine complementary models
Build ensembles that bring different models together for a task. Combine their outputs and evaluate whether the result performs better for your business objective.
Explore possible decisions
Compare possible actions through simulations and counterfactual scenarios. Incorporate relevant goals, budgets, and capacity constraints into your modelling, and explore how projected outcomes change under different assumptions.
Evaluate and improve your models
Compare model outputs with actual outcomes, human feedback, and expert judgement. Evaluate performance against your business objectives, then use the findings to refine models, decision logic, and training workflows.
Connect your own infrastructure or provision it through Langstack. Choose the environment that fits your workloads, while keeping control of your data and ownership of what you build.
Azure
Edge
A foundation for Zero Trust
Control access to your models, knowledge, and inference resources. Connect external model APIs through explicit identities when you choose to use them, supported by Langstack’s identity and networking controls.
Verify identities and authorize access to each resource. Reassess access as context and security signals change.
Least-privilege access
Grant users, workloads and agents only the access their task requires. An agent’s decision to use a tool does not itself grant permission.
Assume breach
Design for the possibility that a workload or identity is compromised. Isolate workloads, limit lateral access, and monitor activity to help contain the impact.
“Langstack is the best in the business at turning data into AI solutions that deliver measurable commercial results. This goes far beyond chatbots. It’s enterprise AI that we fully control, built to meet our highest ambitions at 3.”