AI Platforms
Two ways to build AI agents.
Create an agent around a specific task, or describe a business problem and let the platform draft a multi-agent solution for you to review.
Agentic skills
Create an agent. Attach the skills it needs.
Define what the agent should do, pick a model, and attach skills plus connections to your systems. Generate-with-AI can draft a skill from a name and a short description, or you can write one yourself.
- MCP connections auto-discover enterprise tools across all agents
- Full execution trace for every answer
- Human-in-the-loop approvals on critical actions
- Define objective
- Attach skills & connections
- Test with traces
- Deploy
Create an independent agent: define its purpose and prompt, pick a model, attach skills and MCP connections whose tools are discovered automatically. Every action is traceable in execution logs.
Describe a business problem and it drafts a multi-agent architecture — agents, specializations, tool assignments. You refine personas and rules, generate the application, and test it in the playground.
Multi-agent studio
Describe the problem. Review the design before you generate.
The studio proposes which agents are needed, what each specializes in, and which enterprise tools they use — then waits for your review.
- Rules & restrictions layer enforces your policies
- Persona control from professional to consultative
- Generates for web chat, WhatsApp Business, voice AI, Telegram
- Describe problem
- Review design
- Set rules & persona
- Generate application
- Test in playground
Enterprise foundations
- Multi-LLM support; cloud- and microservice-native deployment
- 2FA at login; API-key encryption; user management with access controls
- LangSmith / LangFuse observability: traces, response times, AI-cost tracking
Would you rather buy than build?
Five packaged solutions ship ready to configure — care, sales, operations, onboarding, and product intelligence.
See ready-to-run AI solutions