# Actualyze AI

> The foundation for enterprise AI. Govern, secure, operate, and optimize every AI request. Actualyze sits between your applications and your inference. Built to govern, secure, operate, and optimize every call, enforced automatically and invisible to your code.

A control plane between your apps and every model. You set the rules once; we apply them to every request in flight. Zero code changes. One URL swap. Any OpenAI-compatible model. The platform is organized around five capability areas: Govern, Secure, Operate, Optimize, and Integrate. It ships as hosted SaaS today, with on-prem deployment coming in 2027; early access runs through a design partner program.

Our founding team has spent careers building and operating distributed systems at global scale, from moving billions of dollars in transactions to architecting AI infrastructure for millions of workloads.

What the platform delivers:

- Your rules, enforced every request: Access, approvals, and budgets enforced on every request. Who can call what — and whose budget it charges — is policy, not convention.
- Your data stays yours: Secure your data before it ever reaches a model. Set guardrails once, enforced on every call.
- Know your costs: Attribute every inference call to a team and budget, mapped to how your company is organized.
- Route smart, spend less: One endpoint in front of every provider. Intelligent routing by capability, cost, and latency through our Virtual Model engine.

Every call your apps make passes through the same pipeline. Policy isn't a document; it's the request path. The pipeline: Authenticate → Authorize → Route → Guardrails → Meter. Over-budget calls are refused before any model is contacted.

Access is not authority. Authority is not accounting. Flat platforms assume person → team → budget. Enterprises don't work that way, and neither do we. Access, authority, and accounting are independent, many-to-many dimensions, so your governance model can match your org instead of fighting it.

- Teams and budgets link many-to-many: shared, multi-linked, or crossed by direct grants
- Access is a union; accounting is a selection - every call charges exactly one budget
- API keys bind team context and budget independently
- Budget Managers and Team Owners are separate, non-overriding authorities
- Tiered limits, with budget and spend caps

Who it's for:

- Platform Engineering: Ship AI without becoming the bottleneck. Stand up one endpoint, set guardrails once, and let every team build against it.
- Security & Compliance: Get control over every request. Set guardrails, scan every call, and hand auditors an immutable trail.
- Finance & FinOps: Turn AI spend into a clean line item. Every call attributed the moment it's made, with alerts long before the invoice lands.

## Platform
- [Govern](https://actualyze.ai/govern): Access, approvals, budgets, and spend policy for every team and every model, defined in one place and enforced on every call, within the limits you set.
- [Secure](https://actualyze.ai/secure): Inference scanning, guardrails, and a tamper-evident audit trail applied inline on every call, so your data is protected, and your auditors get evidence instead of promises.
- [Operate](https://actualyze.ai/operate): Catalog, stage, and deploy every model your teams use, with full visibility into what's running, where, and how it's performing, all from one control plane.
- [Optimize](https://actualyze.ai/optimize): Define a virtual model and let Actualyze route each request to the best real model by capability, cost, and latency — with automatic failover so a provider's bad day never becomes yours.
- [Integrate](https://actualyze.ai/integrate): Actualyze sits between your applications and your AI providers, connecting the models you run, the SDKs your developers use, and the identity and data tools you already have, all behind one endpoint.

## Use cases
- [Control AI Cost](https://actualyze.ai/use-cases/control-ai-cost): See what every team, agent, and model actually costs across every provider and every route. Cap it when the budget runs out, not when the bill arrives.
- [Secure AI Usage](https://actualyze.ai/use-cases/secure-ai-usage): PII and secret redaction, prompt-injection defense, and per-team data rules enforced inline on every request, with every block and redaction recorded.
- [Eliminate Shadow AI](https://actualyze.ai/use-cases/eliminate-shadow-ai): Personal keys, expensed subscriptions, and unsanctioned tools: replace them with a governed path teams actually prefer, and govern every identity on your domain.
- [Prove Compliance](https://actualyze.ai/use-cases/prove-compliance): An append-only audit trail of every request and governance action — who, what, when, under which policy — with retention tuned to your regime and exports auditors accept.
- [For platform engineering](https://actualyze.ai/use-cases/platform-engineering): Give every team a governed, self-serve path to models and agents, with access, cost, and guardrails handled by the platform. Enable AI instead of gatekeeping it.
- [For security & compliance](https://actualyze.ai/use-cases/security-compliance): Put guardrails, identity, and data rules in the path of every model call, and capture an audit trail by default. Show who used what, when, and under which policy.
- [For finance & FinOps](https://actualyze.ai/use-cases/finance): Attribute every model call to a team, product, and budget, with caps and alerts that stop overruns before they reach the invoice. Forecast AI cost instead of reconciling it.

## Blog
- [I Need to Stop Being Amazed](https://actualyze.ai/insights/i-need-to-stop-being-amazed): A veteran engineer keeps being astonished by what AI tools can do at full scale, and grapples with the harder challenge of convincing other senior engineers to move beyond "help me write this function."
- [The Gap We Haven't Named Yet](https://actualyze.ai/insights/the-gap-we-havent-named-yet): If AI tools compress the years of hands-on coding that once built senior architects, what replaces that path? A veteran engineer examines the growing gap between junior developers and the architectural expertise the industry still desperately needs.
- [AI Made the Codebase Feel Shared](https://actualyze.ai/insights/ai-shared-codebase): AI coding tools changed more than productivity for our team. By lowering the cost of contribution across the codebase, they shifted collaboration from implementation details to intent, and made the whole system feel like shared ground.
- [NVIDIA GTC 2026 Recap](https://actualyze.ai/insights/nvidia-gtc-2026-recap): A firsthand look at NVIDIA GTC 2026 in San Jose, covering the keynote highlights, the rise of Agentic AI, data readiness as the real competitive moat, robotics breakthroughs, cloud inference economics, AI security gaps, and what it all means for enterprise AI strategy.
- [KubeCon 2025: The Enterprise AI Infrastructure Moment Has Arrived](https://actualyze.ai/insights/kubecon-2025-enterprise-ai-infrastructure-moment): KubeCon 2025 marked the moment when enterprise AI infrastructure became real. Data sovereignty, GPU economics, and compliance requirements are driving enterprises to bring AI home. Here's what changed and what it means for your AI strategy.

## Company
- [About](https://actualyze.ai/about): Founders (Rafi Khardalian, CEO; Sean Lynch, CTO), mission, values, and investors.
- [FAQ](https://actualyze.ai/faq): 4 common questions about the company and platform, answered.
- [Security](https://actualyze.ai/security): ActualyzeAI's security posture and compliance commitments for enterprise AI governance.
- [Events](https://actualyze.ai/events): Meet the Actualyze team at these upcoming AI, fintech, and cloud-native events.
- [Request access](https://actualyze.ai/request-access): Join the ActualyzeAI design partner program. Work directly with our team to help define the foundation for enterprise AI: early product access, direct feedback with founders, and influence over the roadmap.
- [Contact](https://actualyze.ai/contact): Get in touch about demos, partnerships, press, or careers.

## Optional
- [RSS feed](https://actualyze.ai/feed.xml): Blog articles feed.
- [Privacy policy](https://actualyze.ai/privacy): How ActualyzeAI handles personal data.
- [Terms of service](https://actualyze.ai/terms): Terms governing use of the site and platform.

## Contact
- [Email](mailto:hello@actualyze.ai): Reach the team directly.
- [LinkedIn](https://www.linkedin.com/company/actualyzeai/): Company updates and announcements.