Blueprint → Build → Harden
Ship AI-native software faster — without legacy drag or compliance risk.
SagentLab applies AI-agent powered engineering practices and production-grade architecture to modernize platforms, accelerate delivery, and reduce operating cost—across data systems, cloud migrations, and regulated fintech/healthcare workloads.
Outcomes
Engineering that moves faster and holds up under scrutiny.
AI-assisted implementation with quality gates, tests, and review discipline.
Retire brittle legacy dependencies, simplify architecture, reduce toil.
Observability-first, performance profiling, SLO-driven hardening.
Security controls embedded into SDLC and system design from day one.
Services
AI speed with architecture that can pass security review.
A focused set of engagements that install agent-powered delivery, modernize legacy systems, and harden regulated workloads.
AI-Agent Engineering Enablement
Blueprint-first delivery with clean execution, clear guardrails, and evidence you can trust.
Data Gateways, ETL/ELT, Pipelines
Blueprint-first delivery with clean execution, clear guardrails, and evidence you can trust.
Analytics Foundations & Metrics
Blueprint-first delivery with clean execution, clear guardrails, and evidence you can trust.
Cloud Migration & Legacy Modernization
Blueprint-first delivery with clean execution, clear guardrails, and evidence you can trust.
Compliance Engineering (HIPAA, SOC 2, FedRAMP-minded)
Blueprint-first delivery with clean execution, clear guardrails, and evidence you can trust.
FinTech Build: Alpaca + Plaid Integrations
Blueprint-first delivery with clean execution, clear guardrails, and evidence you can trust.
Differentiator
AI speed with engineering guardrails.
- Agent workflows are instrumented: eval harnesses, golden tests, regression suites.
- CI gates: lint, unit/integration, coverage thresholds, security scans.
- Humans own architecture decisions; agents accelerate execution.
Case Studies
Production outcomes across AI, data, and compliance.
Practical delivery stories that show how we reduce risk while moving faster.
Regulated SaaS
AI Feature Delivery with RAG Infrastructure
Designed retrieval + evaluation approach, then shipped a production-ready AI capability.
Enterprise platforms
Enterprise Integration & Data Connectivity
Built secure connector patterns and modern auth flows that made cloud adoption feasible.
FinTech / HealthTech
Compliance Hardening for Regulated Environments
Implemented crypto/security changes, audit trails, and operational readiness for regulated teams.
Final CTA
Let’s turn your roadmap into production releases.
Share the current bottleneck and I’ll outline the fastest safe path to shipping.
Or email: z@sagientlab.com