The control plane for production AI systems.
Build, run, evaluate, and secure SLMs, RAG pipelines, and AI agents. Continuous evaluation, real-time observability, and policy enforcement—all in one platform.
Integrates with your existing stack
The Challenge
Production AI is hard to trust
Teams shipping AI face the same problems over and over—and most tools don't help.
Silent regressions
Prompt or model updates break production flows without warning. You only find out when users complain.
Stale or unauthorized content
RAG pipelines retrieve outdated documents or expose data users shouldn't access.
Unsafe agent actions
Agents misuse tools, execute unintended operations, or bypass safety guardrails.
Unpredictable token costs
Spending spikes without visibility into which queries or users are driving consumption.
Hard to audit
When something goes wrong, reconstructing 'what happened' requires stitching logs across systems.
Enterprise AI Runtime & Control Plane
Build. Run. Evaluate. Trust.
A unified platform that covers the full lifecycle of production AI systems.
Models
- SLMs, LLMs, embeddings
- Version & prompt management
Context
RAG / MCP
- Retrieval pipelines
- Tool & data connectors
Agents
- Multi-step orchestration
- Tool use & planning
Evals
- Continuous testing
- Regression detection
Observability & Safety
- Real-time tracing
- Policy enforcement
From model deployment to production monitoring—one control plane for your entire AI stack.
Platform Pillars
Five pillars of production AI
A complete stack for building, running, and trusting AI in production.
SLM Factory
Fine-tune, distill, and serve small language models optimized for your domain.
- Custom fine-tuning pipelines
- Model distillation
- Low-latency serving
RAG + MCP Connectors
Permissioned context retrieval with enterprise data source integrations.
- Access-controlled retrieval
- MCP protocol support
- Real-time sync
Agent Runtime
Deterministic execution graphs with human-in-the-loop checkpoints.
- DAG-based orchestration
- HITL approval gates
- Rollback & replay
Continuous Evaluation
Offline and online evals with automated regression gates before deploy.
- Benchmark suites
- Shadow testing
- Regression blocking
Observability & Safety
Full-stack tracing, cost attribution, PII detection, and audit logs.
- Distributed traces
- Policy enforcement
- Compliance audit trail
Process
How it works
Four steps to production-grade AI you can trust.
Instrument
SDK traces
- Drop-in SDKs for Python, TypeScript, and REST
- Auto-capture prompts, completions, latency, and cost
Govern context
RAG permissions + MCP tools
- Define who can access which data sources
- Register and version MCP tools with schemas
Execute safely
Agent policies + approvals
- Set guardrails for tool calls and outputs
- Route high-risk actions to human approval queues
Evaluate & improve
Continuous eval + rollback
- Run evals on every deploy with regression gates
- One-click rollback to last known good version
Ecosystem
Connects to your stack
Out-of-the-box integrations for data sources, tools, models, and observability.
Data Sources
Tools
Models
Observability / SIEM
Trust & Compliance
Security and compliance by design.
We built security into every layer—from data ingestion to model output. Your AI systems stay protected, auditable, and compliant.
SSO/SAML + RBAC
Enterprise identity with fine-grained role-based access control.
Encryption in transit & at rest
TLS 1.3 for all connections, AES-256 for stored data.
Immutable audit logs
Tamper-proof records of every action for compliance and forensics.
PII detection & redaction
Automatic scanning and masking of sensitive data in prompts and outputs.
Prompt injection defenses
Input validation and guardrails to protect RAG pipelines from attacks.
VPC / on-prem options
Deploy in your own infrastructure for maximum data sovereignty.
Pricing
Plans for every stage
From early exploration to regulated enterprise deployments.
Team
Best for: Startups and small teams exploring AI in production
- Up to 10 team members
- Core tracing & observability
- Basic eval framework
- Community integrations
- Standard support
- 7-day log retention
Enterprise
Best for: Scaling teams with production AI workloads
- Unlimited team members
- Advanced tracing & cost attribution
- Continuous eval with regression gates
- SSO/SAML + RBAC
- Priority support & SLAs
- 90-day log retention
- Custom integrations
- Dedicated success manager
Regulated
Best for: Healthcare, finance, and government with strict compliance
- Everything in Enterprise
- HIPAA BAA available
- VPC / on-prem deployment
- Immutable audit logs
- PII detection & redaction
- Custom data residency
- Dedicated infrastructure
- 24/7 premium support
FAQ
Frequently asked questions
Common questions about the platform, deployment, and security.
Get Started
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See how the platform can help your team ship AI with confidence.
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