Ship AI you can actually govern.
Hyntelo AI Gateway is the enterprise AI gateway built for European companies. One secure access point to control costs, protect sensitive data, and meet EU AI Act and GDPR requirements across every team and application.
Limited to selected organizations. Applications are reviewed on a rolling basis.
The stack underneath your AI stack
average cost of an AI-related data breach (IBM, 2025)
- Control AI costs
Without a governance layer, LLM spend grows faster than you can track it. Hyntelo AI Gateway sets per-team budgets, request limits, and real-time alerts to stop cost overruns before they happen.
- Eliminate data exposure risk
Every request to an external model is a potential data exposure. Hyntelo AI Gateway automatically removes personal and confidential data before it reaches any AI provider, and restores it on return.
- Meet EU AI Act and GDPR requirements
Regulated organizations need evidence, not promises. Full audit trails, RBAC, and EU sovereign cloud deployment give Legal and Compliance what they need, without blocking your engineering teams.
Everything you need to run AI in production
Automatic detection of PII and sensitive content via rules, contextual patterns, and NLP/ML models. Data is masked before it leaves your perimeter (or the EU) and re-identified transparently on return.
Policy-based guardrails keep prompts and responses within approved boundaries. They detect sensitive content, enforce API-key restrictions, block non-compliant requests, and trigger alerts.
Built to support EU AI Act and GDPR requirements through configurable controls, risk-based blocking, and complete audit trails. It provides regulated organizations with the traceability and compliance evidence they need, with EU sovereign cloud deployment options.
Per-team API keys enforce request caps, budgets, and model restrictions. Configurable alerts and automatic rejection at defined thresholds keep AI spend controlled and prevent overruns.
Real-time tracking of AI costs, tokens, and latency across teams, models, and applications, with per-team and per-model spend attribution. Entra ID SSO and RBAC ensure usage is correctly assigned to authorized users and teams, without custom dashboards or SQL.
Trace-level logging of every request: cost, tokens, latency, payload. Full audit trail of administrative actions and sensitive queries, designed to support GDPR Art. 32 and the EU AI Act compliance requirements. Aggregated analytics by team, model, and use case.
One OpenAI-compatible endpoint. Any model: OpenAI, Anthropic, Azure OpenAI, Gemini, Bedrock, or local and open-source. Integrate by changing a single base URL. Intelligent routing, failover, and policy-based provider selection built in.
Git-style versioned prompts organized by project, with commit and tag support. Update centrally without redeploying your applications. Reusable blocks let you share common fragments across multiple prompts.
Test any model directly from the dashboard, no code required, with side-by-side provider comparison. Run scheduled evaluations across prompt versions and track output quality over time with objective metrics and a full audit trail.
Works with the stack you already use
Any model, any framework, any SDK. One standard API.
LLM providers
Frameworks & SDKs
Built for us.
Now made for you.
As an AI solutions company, we process thousands of LLM requests every day across dozens of client projects. We needed a single place to monitor usage, control costs, and manage access across teams.
We looked at the tools already on the market, but none could meet the demands of production at our scale: they didn’t scale well, governance was limited, and technical debt piled up quickly. So we built our own AI Gateway.
What started as an internal tool gradually became the backbone of our entire AI platform. Today, after proving itself in production every day, we’re making it available to the teams that need it most.
integration change required
average integration time
average overhead per request
sovereign cloud deployable
“We started with open-source tools: good foundations, but not built for production scale and definitely not built with European data sovereignty in mind. So we rewrote from zero.
Today Hyntelo AI Gateway runs our own production workloads.
We are its first users and its hardest testers.”
Gianluca Nastasi, CTO & Co-Founder of Hyntelo
Ready to take control of your AI stack?
Built for European enterprise. Proven in production.
Limited to selected organizations. Applications are reviewed on a rolling basis.
Questions we get from technical buyers
How does PII de-identification actually work?
Before any request reaches a third-party LLM, Hyntelo AI Gateway runs it through a dedicated privacy pipeline. Built-in recognizers, custom regex patterns, and an NER model detect sensitive entities and replace them with stable placeholders. The mapping is stored as an encrypted server-side session and values are re-identified transparently on return.
How is Hyntelo AI Gateway different from other gateways?
Most existing solutions are observability-first or API-management-first tools, built by US-incorporated companies with no native privacy layer. Hyntelo AI Gateway is the only gateway that combines PII de-identification with re-identification, multi-provider neutrality, and a governance layer that should have come with the model APIs in a single platform.
How are API keys and credentials secured?
API keys are stored exclusively as SHA256 hashes. The plaintext key is shown only once at generation and never stored. AI provider credentials are encrypted at rest. All internal service communication travels over TLS-encrypted channels. The platform also supports Microsoft Entra ID for dashboard authentication.
Is Hyntelo AI Gateway compliant with the EU AI Act?
Hyntelo AI Gateway is built to support EU AI Act obligations, not just to claim it. Full audit trails, PII de-identification by default, RBAC, and EU-sovereign deployment options provide the control and traceability that regulated organizations need.
How long does integration take?
For most teams, under an hour. Hyntelo AI Gateway exposes a fully OpenAI-compatible API. The only change required is updating the base URL in your existing client. Any OpenAI SDK or library works automatically, with no changes to request or response formats.
Does Hyntelo AI Gateway support local or on-premise models?
Yes. Alongside OpenAI, Azure OpenAI, Google Gemini, and AWS Bedrock, Hyntelo AI Gateway supports locally hosted models through the same OpenAI-compatible interface. You can mix cloud and local providers in the same routing policy.
What happens when a team exceeds its budget?
Requests are automatically rejected with a standard OpenAI-format error response. Configured recipients receive email alerts at a configurable warning threshold (e.g. 80%) and again at 100%. Budgets can be set per API key with daily, weekly, monthly, or lifetime periodicity.
Can we deploy in our own cloud environment?
Yes. The recommended enterprise setup deploys Hyntelo AI Gateway within your private environment or a designated EU sovereign cloud. The platform is containerized and designed for enterprise-grade orchestration, with separation between development, test, and production environments.