One OpenAI-compatible API across 12+ providers. Route by cost, latency, and availability with semantic caching and automatic failover.
Map AI to NIST AI RMF, the EU AI Act, ISO 42001, and SOC 2. Enforce policy in real time and keep an immutable audit trail.
Self-hosted, white-label voice agents on your own models and telephony. Rehearsed against tough callers before they ever go live.
Discover, verify, govern, and deploy trusted MCP tools, agents, and skills. A certification factory and secure gateway for everything your agents call — read-only by default.
One OpenAI-compatible API across 12+ providers. Route by cost, latency, and availability with semantic caching and automatic failover.
Map AI to NIST AI RMF, EU AI Act, ISO 42001, SOC 2. Enforce policy in real time and keep an immutable audit trail.
Self-hosted, white-label voice agents on your own models and telephony. Rehearsed against tough callers before go-live.
Every MCP tool scanned, sandboxed, scored, and human-reviewed before it reaches your agents — served through one OAuth-protected, read-only-by-default gateway.
Deploy on your own cloud with full data isolation. No vendor lock-in. No data leaving your control. Set up in days, not months.
Semantic caching eliminates redundant API calls — cut costs up to 31% while improving response times across every provider.
Route across providers and pay provider cost — no per-seat tax, no per-minute markup. Your bill tracks usage, not headcount.
Self-host the whole stack in your own cloud. Prompts, keys, and audit trails stay inside the perimeter you control.
It runs in your own cloud with an immutable audit trail of every model and tool call. Trust comes from what you can watch it do — not a wall of logos.
Design and operate resilient foundations across cloud, data, network, and identity.
Move from fragile delivery paths to product-ready platforms that improve every release.
Build delivery automation, observability, security controls, and practical SRE operating models.
Bring models, tools, governance, and agents together into an environment your teams can run safely.
Agents are only as trustworthy as the tools they call. Here’s why we built a discover → scan → sandbox → certify → monitor lifecycle for MCP tools, and what “trusted by default” actually requires.
Read article →Model routing, semantic caching, and provider arbitrage — with real numbers.
Read →How we mapped real AI systems to the framework’s core functions.
Read →Why the rehearsal phase matters more than the launch.
Read →Tell us what you’re building. We’ll show you how to route, govern, voice, and trust your AI tools — without an enterprise budget.