Ship AI-native productswith cloud-native resiliencewithenterprise reliability
Trenine Solutions builds an AI/ML intelligence layer for search, knowledge graphs, and automation—then delivers the engineering, security, and operations to run it in production.
Built for SSO, least privilege, auditability, and measurable quality.
Time-to-value
Scoped evaluations and staged rollouts designed to reach production quickly—without skipping controls.
Security posture
Permission-aware retrieval, audit trails, and policy-aligned automation patterns from day one.
Operational readiness
CI/CD, observability, and runbooks so teams can own and scale what ships.
A governed intelligence layer that integrates with enterprise systems.
Unify discovery across docs, tickets, chat, and data—then translate insights into workflow execution with approvals, boundaries, and audit trails. Designed for operational trust.
What it enables
Search with citations
Trace outputs back to sources and support verification workflows.
Knowledge graph context
Connect entities across systems to keep context consistent, explainable, and auditable.
Automation with guardrails
Trigger triage and routing workflows with controls and approvals where required.
Governance at retrieval time
Enforce permission boundaries aligned to your identity provider and policy model.
Connectors + APIs
Integrate SaaS, legacy, and internal systems while preserving source-of-truth ownership.
Operational reliability
Ship with CI/CD, observability, and runbooks so teams can operate what launches.
Trusted by
Teams building under real constraints.
We work across regulated and high-growth environments—where security, integrations, and reliability are non-negotiable.
Capabilities
AI, cloud, data, and delivery—aligned to enterprise constraints.
Build an intelligence layer teams can trust—then integrate, govern, and operate it in production with clear ownership.
A step flow built for enterprise constraints—not demo velocity.
We structure engagements around governance, integration reliability, and measurable outcomes. The goal is production readiness: predictable delivery, clear ownership, and operational continuity.
Typical rollout: scoped evaluation → integration plan → staged deployment → operational handoff.
Discuss your rolloutServices
Build, modernize, and operate—across product, data, and cloud.
We deliver end-to-end engineering with senior oversight and production readiness. Engagements are scoped to your governance constraints, integration surface, and reliability goals.
Need a scoped plan? We’ll propose an approach, milestones, and ownership model aligned to your constraints.
Industries
Enterprise use cases where constraints are real.
We build across regulated and high-growth environments—where security, integrations, and reliability are non-negotiable.
Share your environment and constraints. We’ll propose a rollout plan aligned to governance and production realities.
Technology & architecture
Designed for cloud, AI workflows, and enterprise governance.
We build systems that integrate cleanly with your identity provider, data sources, and operational tools— with controls that support auditability and long-term maintainability.
- Integrate with your identity provider for permission-aware retrieval and policy enforcement.
- Connect sources via APIs/events with ownership preserved and resilient sync strategies.
- Monitor quality and reliability with evaluation metrics, observability, and incident playbooks.
Why teams choose Trenine Solutions.
We bring product capability and delivery discipline together—so AI features ship safely, integrations stay reliable, and teams can operate what launches.
Weeks
to first production rollout (typical, scoped)
Clear
ownership handoff with runbooks + telemetry
Built-in
governance and permission boundaries
Governance by design
Access boundaries, auditability, and policy-aligned automation patterns for enterprise constraints.
Integrations that hold up
API contracts, event patterns, and resilient data synchronization across SaaS, legacy, and internal systems.
Delivery + operations
CI/CD, observability, and incident-ready practices so systems remain reliable long after launch.
Share your systems, governance constraints, and timeline. We’ll propose a rollout strategy and delivery approach that balances speed with reliability.