AI Agent Development
Autonomous agents that execute structured decision trees with guardrails, not black-box prompts.
Learn moreAgent architectures, pipeline design, and data governance. For stacks that need production reliability, not slideware.
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01 / Services
Three core problem areas we solve with production-proven architectures.
Autonomous agents that execute structured decision trees with guardrails, not black-box prompts.
Learn moreData pipelines with observable SLAs and schema enforcement that catches upstream drift before it reaches production.
Learn moreDashboards backed by profiled queries and typed semantic layers — not hand-rolled SQL that breaks on schema changes.
Learn more02 / Insights
Production patterns, failure postmortems, and architecture decisions from the field.
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03 / About
Pipelines that stay up, agents that don't hallucinate, governance that passes SOC 2 audits.
Structured decision agents with guardrails, observability, and fallback logic for production workloads.
Schema validation, anomaly detection, and dedup pipelines that surface quality metrics in your existing monitoring stack.
Access control, audit logging, and PII redaction baked into the pipeline layer — not bolted on post-deployment.
04 / Open Source
Production-grade tools we build and maintain in the open.
Real-time data activation from PostgreSQL change streams. Fire webhooks, Slack, or Telegram on column changes — zero polling, no middleware.
Change Data Capture
Stream PostgreSQL changes in real-time via logical replication — no triggers, no polling, no middleware.
Multi-Channel Webhooks
Fire Slack, Telegram, or custom webhooks on column-level changes. One Postgres table can trigger many destinations.
Built in Rust
Single binary, no runtime deps, ~5MB footprint. Deploy as a systemd service or sidecar container.
05 / Testimonials
Not slideware. Real outcomes from teams that hold their vendors to a high bar.
"They rebuilt our agent infrastructure in 6 weeks. What we'd estimated at 4 months internally. The system has been running without a single hallucination incident since deployment."
VP of Engineering
Enterprise SaaS, Series C
"We were drowning in data quality incidents — schema breaks every sprint. They put monitoring in place that catches issues before they hit production. Incident count dropped by 80% in the first quarter."
Head of Data
Fintech, 200+ employees
"The governance framework they designed passed our SOC 2 Type II audit with zero findings. Previous attempts with a Big 4 consultancy took 9 months and still had gaps."
CISO
Healthcare Analytics, Series B
Describe your stack, where the bottleneck is, and what you've already tried. We'll tell you if we can help — and at what cost.
No slides. No sales pipeline. Send us your architecture diagram.