Engineering Intelligent Systems that Endure
We design, build, and operate software platforms, decision-support systems, and data infrastructure that remain reliable, testable, and understandable over long horizons.
Mission
Provide scalable platforms and human-centered tooling that convert research and strategy into dependable operations.
Platform Engineering
Service meshes, policy-aware workflows, API gateways, and observability by default
Decision Systems
Evaluation harnesses, audit trails, human-in-the-loop, and bias/robustness checks
Data Reliability
Lineage, validation, retention strategies, and reproducible pipelines
Path to Production
From discovery to stable operations with measured, reversible steps.
Core Capabilities
Interoperable services, versioned interfaces, and exhaustive telemetry.
Service Architecture
Zero-trust networking, policy-as-code, and traffic shaping
Data Systems
Stream + batch fusion with lineage, validation, and privacy-by-design
Evaluation & QA
Scenario generators, golden sets, and regression guards
Ops & SRE
SLI/SLO management, incident runbooks, and capacity models
Engineering Principles
Clarity first. Modularity next. Everything observable.
Stable Interfaces
Versioned APIs and schemas with migration guides
Defense in Depth
Identity, encryption, and policy controls across layers
Telemetry Everywhere
Logs, metrics, traces, and SLIs that show truth
Human Oversight
Transparent controls and documented decisions
Resilience & Recovery
Graceful degradation and tested failover
Data Lineage & Quality
Provenance, validation, and retention policies
Tooling & Stack
Illustrative stack used to deliver and operate systems reliably.
Platform
Kubernetes, service mesh, GitOps, IaC, secrets management
Data
Stream processors, warehouse/lakehouse, catalog, lineage
Observability
Tracing, metrics, log pipelines, SLO dashboards
Quality
CI/CD, policy checks, schema validation, load testing
Security
OIDC, mTLS, KMS, audit logs, threat modeling
Delivery
Incremental releases, feature flags, canaries
Interface Policy Example
Versioning and deprecation windows keep integrations stable.
# API: /v2/ingest
# Stability: STABLE
# Deprecation: v1 EOL +180 days from v2 GA
contract:
request:
schema: ingest.v2.schema.json
auth: OIDC + mTLS
response:
codes: [200, 202, 400, 401, 429, 5xx]
observability:
slis:
- latency_p95 < 250ms
- error_rate < 0.5%
audit: enabled
change_control:
review: design-board
rollout: canary 5% → 25% → 100%
Governance
Clear ownership and evidence-based reviews keep systems aligned.
Design Reviews
Architecture gates with alternatives and trade-offs
Change Control
Tracked releases with rollback and reproducible builds
Security Council
Risk assessment, threat modeling, incident readiness
Data Stewardship
Privacy, retention, and access controls with audits
FAQ
How do we start?
Discovery, a short pilot with clear metrics, then scale
Do you support regulated sectors?
Yes. We design for auditability, safety, and compliance readiness
How is quality enforced?
Contracts, test harnesses, and production SLIs with alerts
Do you collaborate with startups?
Yes. We help establish robust, scalable foundations early
Build for the Next Decade
Partner with MamoVant to design systems that endure and improve.