Hypothesize designs, deploys, and operates Claude-powered AI agent systems on AWS for regulated enterprises. Every agent we deliver can be instrumented with CostKatana for real-time cost observability, hallucination detection, and ROI tracking.
Teams are shipping support bots, document agents, workflow automations, and analytics copilots without unified visibility into cost, quality, security, or return.
CPN delivers five agent capabilities every enterprise needs. CostKatana instruments those agents with cost observability, hallucination checks, and ROI analytics from day one.
Every agent is Claude-powered, AWS-delivered, and connected to existing enterprise systems via MCP so teams avoid a parallel tech estate.
CostKatana turns every deployment into a measurable operating system: cost per call, quality per output, model usage, budget alerts, and ROI per agent.
Our build-then-operate AI agent delivery platform: five horizontal enterprise agent suites, delivered on AWS with Claude, governed through a five-rung engagement model, and expanded through managed operations.
Project, program, and portfolio management intelligence for teams that need clearer delivery signals, better prioritization, and natural-language access to execution data.
Every agent we deploy is instrumented with CostKatana for real-time LLM cost observability, hallucination detection, prompt optimization, model routing, and ROI tracking.
Service teams need 24/7 resolution without losing auditability, escalation discipline, or human oversight.
Critical knowledge is trapped in documents, contracts, PDFs, clinical records, and policy repositories.
Business users wait on dashboards and analyst queues when they need governed answers from live enterprise data.
High-value work crosses systems, handoffs, and teams; single-task copilots cannot own the outcome.
Regulated AI needs traceability, control evidence, policy enforcement, and secure monitoring before it can scale.
From account servicing to KYC onboarding to real-time transaction monitoring, agents that meet the reliability and audit requirements regulators demand.
Patient intake, clinical documentation, prior authorisation, and revenue cycle, agents designed for HIPAA-aligned environments with proven clinical documentation deployments.
Contract review, internal knowledge retrieval, and document intelligence across large professional estates, where accuracy and traceability are non-negotiable.
Discovery, integration, and governance in a fixed-scope engagement. Agents are validated against pilot metrics before expansion.
Monitoring, tuning, and adjacent use-case rollout under a managed operations retainer, with CostKatana telemetry guiding expansion.
Real-time cost observability, hallucination detection, ROI tracking, prompt optimization, model routing, and budget controls for every deployed agent.
Agentic KYC intake and document intelligence pilot. Measurement focus: review cycle time, exception handling, and audit readiness.
Patient intake and prior-authorization drafting workflow. Measurement focus: staff hours saved, turnaround time, and quality review pass rate.
Contract review and internal knowledge agent. Measurement focus: search success, drafting time, and traceable source coverage.
CostKatana is a real-time AI cost observability and governance layer. It tracks cost per call, output quality, model usage, budget alerts, and ROI per agent across LLM deployments.
LLM cost observability, hallucination detection, prompt optimization, model routing, budget controls, and ROI tracking, for every deployed agent.
Yes. Every agent Hypothesize delivers on Claude via AWS Bedrock can be instrumented with CostKatana from day one.
Enterprises running production AI who need CFO-, CIO-, and compliance-ready visibility into AI cost, quality, and return, instead of guessing from invoices.