Trase offers a full‑stack AI‑agent platform that automates end‑to‑end, compliance‑sensitive administrative workflows for large healthcare and oil‑&‑gas enterprises. The solution provides a secure runtime with safety layers, integration hubs for EHR, ERP, and CRM systems, and a shared‑savings pricing model that charges only after measurable efficiency gains are realized.
Funding
Funding not disclosed
Founders
Product
Problem
Regulated sectors such as healthcare and oil & gas rely on extensive manual administrative processes that generate data silos, elevate compliance risk, and strain IT resources. Fragmented systems and repetitive tasks lead to low ROI, operational bottlenecks, and heightened error rates.
Solution
Trase delivers a full‑stack AI‑agent platform that designs, orchestrates, and manages intelligent agents to automate these complex workflows end‑to‑end. The platform abstracts model inference, tool execution, and state management behind a secure runtime, enabling rapid deployment without extensive AI expertise. Built‑in safety layers enforce confidence thresholds, fallback logic, and human‑in‑the‑loop review to guarantee audit‑ready outcomes. Integration hubs expose standardized APIs that connect to EHRs, ERP, CRM, and legacy land‑title systems, preserving existing investments. All data handling complies with SOC 2, HIPAA, and DoD‑grade controls, providing immutable audit logs and fine‑grained access controls. Customers adopt a shared‑savings model with zero upfront fees, paying only when the agents deliver measurable efficiency gains.
Target Audience
The primary customers are large healthcare systems and oil‑&‑gas enterprises that must automate high‑volume, compliance‑sensitive administrative workflows while maintaining strict security and auditability.
Features
- Agent Runtime: task queue, model inference orchestration, sandboxed tool execution, persistent state storage.
- Safety Layer: confidence scoring, verification constraints, automatic fallback/retry, human‑in‑the‑loop review interfaces.
- Orchestration Engine: multi‑agent coordination, context passing, event‑driven workflow state machines.
- Integration Hub: connector registry, API gateway with rate limiting, authentication/authorization, data transformation pipelines for EHR, ERP, and custom systems.
- Observability Stack: real‑time metrics aggregation, KPI dashboards, alerting, end‑to‑end execution tracing, immutable audit logs.
- Deployment Flexibility: VPC‑based, air‑gapped, or multi‑cloud installations with AES‑256 at‑rest and TLS 1.3 in‑transit encryption.
- Model‑Agnostic Architecture: supports any LLM or specialized model, enabling rapid swaps without code changes.
- Domain‑Specific Agents: pre‑built agents for provider matching, Rx refill automation, intake routing in healthcare; revenue processing, land‑title runsheet generation, and acquisition due‑diligence in oil & gas.