One platform.
Four pillars.
Infinite applications.
Kurve is built on a single principle: enterprise AI fails when the data layer fails. Our platform fixes the foundation first — then deploys agents and applications that actually hold up in production.
How the platform layers
The foundation everything else runs on.
Most AI implementations collapse under the weight of bad data. Kurve's data layer unifies, maps, and governs enterprise data into a single ontology — before a single agent is deployed.
Extract structured data from documents, forms, images, and faxes with vision-language models fine-tuned for enterprise documents.
Classify, route, and transform unstructured documents into structured data objects — at scale, across formats.
Master data management with entity resolution. One canonical view of every member, patient, customer, or record across all source systems.
Full auditability from source to output. Know where every data point came from and how it was transformed — critical for regulated industries.
Agents that run on truth, not guesswork.
Kurve's AI layer is ontology-driven — every agent operates on your unified data model, not raw database queries. The result is decisions that are accurate, explainable, and auditable.
Multi-agent workflows with deterministic routing. Agents hand off tasks, escalate exceptions, and complete full operational cycles without human intervention.
Build, fine-tune, and evaluate models on your own data. Bring your own LLM or use Kurve's pre-built domain models for healthcare, insurance, and education.
Monitor, version, and manage models in production. Drift detection, performance benchmarking, and rollback — built in.
Explainability, bias detection, and compliance controls baked into every inference layer. Not an afterthought — part of the architecture.
From data model to production app — fast.
Kurve gives engineering and product teams a composable foundation to build AI-native applications on top of the unified data layer — without rebuilding the plumbing every time.
Declarative, reusable data models that encode your business domain. Build once, deploy across applications and workflows.
End-to-end process automation — intake, review, decisioning, escalation, and output — wired into your existing systems.
Build user-facing application surfaces — portals, dashboards, and screeners — on top of the platform with minimal frontend overhead.
CI/CD pipelines, environment management, and deployment automation. Ship updates without disrupting production workflows.
Enterprise-grade. From day one.
Kurve fits into your infrastructure — not the other way around. On-prem, cloud, or hybrid. HIPAA, SOC 2, and enterprise security built in from the start.
Microservices-based, horizontally scalable. Designed for high-volume, mission-critical operations — not demos.
Role-based access control, encryption at rest and in transit, audit logging, and configurable data residency. Built for regulated environments.
Centralized control plane for managing users, roles, data policies, and model permissions across the entire platform.
Deploy on AWS, Azure, GCP, or on-premise. Sovereign cloud and air-gapped environments supported for regulated industries.
The ontology difference.
—Siloed data in 10+ source systems
—AI agents hallucinating on dirty data
—No audit trail for AI decisions
—12-month implementation timelines
—AI that works in demos, fails in production
+One unified ontology across all sources
+Agents that operate on verified, mapped data
+Full decision lineage, auditable by design
+Working pilots in weeks, not quarters
+Production AI that earns enterprise trust
See the platform in action.
We'll map your data environment and show you what Kurve can build — in your context, on your data.
Request a Pilot