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Industries · Technology

Ship AI at the Cadence You Ship Software.

Technology organizations have the engineering maturity to move quickly — provided evaluation, observability and unit economics arrive with the first release.

Constraints

Architecting Principles That Shape the Design

Revolutionize software delivery by integrating AI into very core of it but never ignoring the principles that define its usage and control when implementing at scale.

Release velocityMulti-tenant cost attributionCustomer data isolation

Our Roadmap

Use case → agent → data → architecture → product → outcome.

Every outcome is a measure of how we build and tailor to your specific business use case. See our agents in action with possible business outcome, realizing the true value chain of AI.

USE CASEAGENTDATAARCHITECTUREPRODUCTOUTCOME
Engineering deliveryReview, test and dependency agents in the pipelineRepositories, CI history, findingsCoding agents + CI policydZEaaSLead time; change failure rate
Product AI featuresFeature agents with evaluation gatesProduct data, usage telemetryLLMOps + Evaluation + Gateway—Quality; cost per feature
Platform operationsOperations agent with autonomous remediationTelemetry, change, runbooksAIOps + PolicydZopsMTTR; automation coverage
AI unit economicsCost agent enforcing budgets at the gatewayToken, tool and GPU telemetryGateway + Routing + FinOpsdZoptiCost per thousand requests

Let Us Know What’s Stopping You from AI Adoption at Scale

We align data sovereignty with RAG and semantic layer built into it. Whatever the challenge it is, our engineers build the one that makes your enterprise thrive on the futuristic innovation.

30 MINUTES WITH AN ARCHITECT · BRING YOUR HARDEST CONSTRAINT