From working demo to production-ready AI infrastructure.
We partner with CTOs and founding engineers at Seed-to-Series B AI companies to harden agent orchestration, build reliable data platforms, and ship infrastructure that doesn't break at 3 AM.
Fixed scope, fixed price · $9,500 · 10 business days
“CapitalPath built out our operational data platform, reporting, as well as CRM scoping. The work has absolutely not gone unnoticed. It has already proven its value both in supporting our reporting cadence to external customers and impacting internal operations.”
Agent Production Readiness Audit
A fixed-price, 10-day diagnostic that tells you exactly why your agent isn't production-ready and what to fix first. Written roadmap, no proposal cycle. $9,500 flat.
Who This Is For
Built for AI-first startups at the production inflection point.
Your AI concept is proven. Your infrastructure isn't.
You've shipped a working product but it breaks under real load, fails silently, or costs too much to run reliably.
You're debugging agent failures in the dark.
No observability, no tracing, no alerting. When something goes wrong, you find out from a customer.
Your data infrastructure hasn't kept pace.
Pipelines are brittle, analysts are blocked, and your investor reporting is held together with spreadsheets.
You need Staff Engineer capacity without a full-time hire.
Your founding team is stretched thin. You need someone senior who can own the infra, not manage a vendor.
Services
What We Build
Two critical foundations, reliable agent orchestration and enterprise-grade data platforms.
Production Agent Reliability Sprint
A fixed-scope engagement that takes your Agentic system from fragile prototype to observable, failure-resilient production infrastructure.
- ‣ Temporal workflow orchestration & durability hardening
- ‣ Agent failure isolation and retry strategies
- ‣ OpenAI SDK & Pydantic AI integration patterns
- ‣ Observability, tracing, and alerting pipelines
- ‣ Cloud-native deployment (AWS, Azure, GCP)
Data Platform Foundation Build
End-to-end data infrastructure from raw ingestion to analytics-ready pipelines. Modern lakehouse architecture your team and stakeholders can trust at scale.
- ‣ Lakehouse architecture on AWS, Azure, or GCP
- ‣ ELT pipeline design with clean medallion layers
- ‣ Real-time + batch processing
- ‣ BI tool integration (Power BI, Tableau, Omni)
- ‣ IaC provisioning via Terraform
Agentic Architecture Advisory
Strategic guidance on agent system design to help your team make the right architectural decisions before they become expensive to undo.
- ‣ OpenAI SDK & Pydantic AI architecture patterns
- ‣ LLM orchestration layer design and evaluation
- ‣ Payload management (S3 claim-check, External Storage)
- ‣ State management and conversation index design
Embedded Engineering Partnership
Ongoing fractional Staff Engineer capacity for teams that need senior technical depth without a full-time hire. Shipping production features alongside your team.
- ‣ Fractional Staff Engineer (weekly cadence)
- ‣ Code review, architecture docs, and RFC support
- ‣ Async escalation and incident advisory
- ‣ Direct access, no account managers
Engagement Model
How We Work
Production Readiness Audit →
A fixed-price, 10-day diagnostic. You get a written remediation roadmap before committing to anything further.
Sprint Execution
Typically 4–8 weeks, scoped directly from the roadmap. Hands-on engineering: hardened workflows, instrumented pipelines, deployed infrastructure.
Handoff & Optionality
Fully documented systems handed to your team. Optional retainer for ongoing embedded partnership.
Case Studies
Everged
Full platform from zero · Azure + Power BI + HubSpot
“CapitalPath built out our operational data platform, reporting, as well as CRM scoping. The work has absolutely not gone unnoticed. It has already proven its value both in supporting our reporting cadence to external customers and impacting internal operations.” — Peter R., COO, Everged
Tech Stack
Start a Conversation
Tell us about your agent system or data infrastructure challenge. We'll respond within one business day.
Looking for a fixed-scope starting point instead? See the Production Readiness Audit.