Inside the platform
Six capabilities, wired together. Each one makes your agents measurably better. Together, they form a continuous optimization loop that runs on its own.
Your agents run in isolation
Think of it as a test kitchen. Agents practice with real ingredients, but nothing reaches the customer until it's ready. The sandbox mirrors your production environment: same data shape, same integrations, same constraints. What works in the sandbox works in production.
- Full environment isolation between testing and production
- Real data shapes without production risk
- Rollback to any previous agent version instantly
Wired into your real data
An agent tested on synthetic data tells you nothing. The platform connects directly to your CRM, databases, support systems, and internal tools. Agents train on the actual data they'll work with, so optimization results translate directly to production performance.
- Direct integrations with CRMs, databases, support tools
- Read-only access during testing (write access in production only)
- Schema-aware context for structured data sources
Agents that know what they need to know
A great employee doesn't memorize the company wiki. They know where to look. Context layer engineering works the same way: it surfaces the right documents, the right data, and the right history at the right moment. Your agents answer from source material, not from memory.
- Dynamic retrieval based on the specific query
- Source attribution so you can verify every answer
- Continuous tuning of retrieval quality through the optimization loop
Dozens of variations. One winner.
The platform generates agent variations automatically: different prompts, different context configurations, different orchestration strategies. It runs them simultaneously against the same scenarios, scores each one against your benchmarks, and promotes the winner. Then it does it again.
- Automated variation generation from your base agent
- Simultaneous execution against identical scenarios
- Statistical rigor so you know the winner is real, not noise
When one agent can't cover the job
Some tasks cross boundaries. A customer question touches billing, ticket history, and the product roadmap. No single agent has the full picture. The orchestrator assembles a team on the fly: a billing agent, a support history agent, and a product agent, coordinated to produce one coherent answer.
- Dynamic team assembly based on the task at hand
- Central orchestrator that coordinates outputs and resolves conflicts
- Optimized at the swarm level so the team improves together
You define what "good" means. We measure against it.
Every team has different success criteria. The platform lets you define the metrics that matter to your business and measures every agent variation against them. No vanity metrics. No vague "improvement." Concrete, auditable scores.
- Accuracy of responses and task completion
- Response time and throughput
- Customer satisfaction and resolution quality
- Cost per interaction and efficiency
The gains stack
Every capability feeds the next. The sandbox gives agents a safe place to train. Data connections give them real material to work with. Context engineering gives them the right information at the right moment. AB testing finds the best version. Orchestration assembles the right team. Benchmarking scores it all. And then the cycle starts again, from a stronger baseline.
Deploy. Measure. Test. Refine. Repeat.
See it working.
We'll walk you through the platform with your use case, your data, and your success criteria.
Talk to us