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Why now

The challenge is no longer only buying tokens. It is governing where, how, and at what cost AI runs.

Enterprises want the simplicity of centralized APIs with stronger control over vendor dependency, operational resilience, audit data, and environmental footprint.

Use cost-efficient sovereign AI

We route each workload to relevant open-weight models without creating structural dependency on a single proprietary API.

Business-fit selection for RAG, extraction, classification, internal support, and document batch.
Routing by cost, latency, residency, and trust level.
Pragmatic positioning: frontier models can remain elsewhere while Infera covers open-weight-friendly workloads.

Simple, near no-code integration

Teams update the inference layer configuration instead of rebuilding application flows.

OpenAI-compatible standard to preserve SDKs, prompts, and existing chains.
Fast pilots on a limited business scope before scaling.
API keys, quotas, and reporting built for product, IT, and finance teams.

Monetize unused GPUs and CPUs

Install the Infera agent on your infrastructure to turn dormant capacity into governed resources.

Rent surplus capacity within time windows and policies defined by your organization.
Reduce new capacity purchases when internal hardware is underused.
Keep role separation: private keys are generated locally on the node.

AI carbon accounting compatible with CSRD Scope 3

Infera turns the footprint of your AI usage into steering data for sustainability, procurement, finance, and CSRD Scope 3 paths.

Reading by request, model, pool, period, and confidence level when telemetry is available.
Scope 3-compatible attribution to connect digital services, AI usage, and supplier reporting.
Exports designed to connect footprint, cost, routing, and optimization decisions.

Secure critical operations

The on-premise Infera network version keeps a controlled fallback plan for sensitive AI operations.

Fallback to the Infera grid when internal nodes are saturated, under maintenance, or unavailable.
mTLS, pull/long-polling, and local agents reduce exposed surface.
Distinct packaging for Trusted, HDS, or SecNumCloud needs according to the actually qualified scope.

Build territorial networks

Bring together companies, public actors, schools, healthcare entities, or industrial groups to mutualize local AI capacity.

On-premise deployment across trusted organizations.
Local governance of capacity, routing rules, and priorities.
Collective resilience for sensitive workloads that should not depend on a single central point.

Governance & strategic autonomy

Secure AI operations while mutualizing available resources.

Infera is sold as a control plane: decide which workloads run where, with which trust level, fallback, audit evidence, and carbon reading.

Operational security
Mutualization
Strategic autonomy
CSRD Scope 3
Execution policies
Route by business criticality, residency, cost, model, availability, and trust tier without changing integrations.
Secured operations
Isolate experimentation, production, and sensitive perimeters with mTLS, pull-based agents, and clear grid separation.
Mutualized resources
Reuse internal GPUs, trusted partners, or territorial capacity before systematically buying new capacity.
Usable carbon evidence
Connect tokens, energy, pools, and costs to steer sustainability commitments and CSRD Scope 3-compatible obligations.

Adoption path

Start with one workload, not a global migration.

The right enterprise path proves compatibility on a controlled flow, then expands routing policies, quotas, and guarantees.

Scope the first flow
Identify an open-weight-friendly use case: internal RAG, document extraction, classification, support, or batch.
Switch configuration
Update base URL, API key, model, and trust parameters without rebuilding applications.
Enable policies
Choose cost, residency, trust tier, fallback, and reporting constraints according to flow criticality.
Industrialize
Connect metrics, quotas, keys, audits, and capacity rules to move from pilot to run.

Operating offers

Three ways to de-risk AI operations.

Infera is not a raw GPU marketplace: it is a control layer for orchestrating distributed pools with enterprise rules.

Infera Grid fallback
Service continuity

Use the Infera grid as fallback capacity when internal resources are saturated, under maintenance, or unavailable.

On-premise network
Maximum control

Deploy router, agents, and policies within your perimeter to use GPUs/CPUs while retaining operational governance.

Territorial federation
Local mutualization

Create a shared network between local actors to distribute capacity, priorities, and trust guarantees.

Responsible positioning

What we clearly promise, and what we frame.

A credible enterprise page must help IT, business, procurement, and compliance teams. Strong promises must remain verifiable.

Next step

Let's audit your AI flows in 30 minutes.

We identify compatible use cases, quick wins, security constraints, and the right scenario: managed API, fallback, on-premise, or territorial network.

Book 30 minCreate account (€10 free)