Familiar integrations
Connect your applications through familiar chat and streaming requests.
AI infrastructure for Canadian and U.S. businesses.
Accentrust is planning unified model access and inference services for businesses in Canada and the United States. Connect Figena, Cilila AI, or your own applications to models that fit, with control over deployment, usage, and cost.
Connecting business applications with models and compute.
Figena connects business operations and finance. Cilila AI helps teams understand business context and move work forward. Accentrust’s infrastructure plans extend this foundation to unified model access and inference capacity for your own applications, as a service independent of the Figena business suite.
- Figena
- Cilila AI
- Your applications
Application gateway
Tenant identity · scoped keys · TLS · request limits
Policy & route selection
Model, region and budget rules · no approved route → explicit error
Data requests use storage services; model requests use an approved inference route.
Approved regional deployment
Owned or contracted capacity · agreed processing location
Data storage
- Databases & encrypted object storage
- Permission-filtered retrieval indexes
- Protected backups & restore validation
Authorized context
AI compute
- Inference queues & request scheduling
- GPU / CPU workers · shared or reserved pools
- Licensed model registry → serving workers
Only context selected under the application’s permissions reaches inference. Stored data is not automatically sent to models.
Facility & network foundation
Segmented networks · power & cooling · physical access controls
Authorized model providers
Selected models · verified processing regions · disclosed data terms
- Policy-checked egress · minimum necessary request content
- Response streaming · usage returned for attribution
Provider routes do not have direct access to the storage plane.
Responses return through the gateway. Saving results requires a separately authorized write to the data service.
Management & assurance
- Tenants, scoped keys & deployment policy
- Storage, compute & token metering · project attribution
- Key management, metadata audit & service monitoring
Management and telemetry cover both deployment paths. They do not provide unrestricted access to customer content.
One API. Deployment choices that fit.
Model access, managed inference, and dedicated capacity, shaped around the needs of businesses in both markets.
Unified model access
A planned entry point for selected models, reducing separate integrations while making model capabilities and provider differences visible.
Managed inference
A planned service matching eligible models to approved deployments around your performance, cost, and data requirements. Model licences, capacity, and processing terms would be confirmed for each deployment.
Dedicated capacity
A future option for reserved compute and greater isolation, with capacity, performance targets, and support terms agreed for your workload.
One integration. Room to choose.
We’re planning one model API for teams in Canada and the U.S., with more choice and clearer control. Public access is not yet open.
The right model
Compare capabilities, processing locations, and prices to find your fit.
Routing on your terms
Keep model selection and fallback within your approved regions and budget.
Access you control
Manage access and usage by application, with clear permission boundaries.
Performance in view
See response times, errors, and usage together to spot what needs attention.
Clarity on cost
Understand usage rates and service fees before you commit.
Choose how and where your AI runs.
We’re planning deployment options for teams in Canada and the U.S. Compare models, processing locations, and data terms around your workload.
Canadian hosting
Planned capacity in Vancouver, with processing and data terms tailored to your workload.
Provider deployments
Explore authorized providers by model fit, processing region, and data requirements.
Deployment locations and data terms are confirmed before access.
Know where your data goes.
Compare the complete data path alongside the model, including what is retained and who can access it.
Clear processing boundaries
Our intended policy excludes customer prompts and outputs from model training. Any external provider’s processing and training terms would be disclosed for the selected route, rather than assumed to match ours.
Retention you can evaluate
We plan to distinguish request metadata from stored prompt and output content, with stated retention and deletion options. Zero-retention options would require verified support across the selected processing path.
A fit for your requirements
Match the deployment to your security and compliance requirements, with access, backups, support, and contractual commitments reviewed together. Inference, account, and billing records each have their own location and handling terms.
A cleaner foundation for AI.
Our facility planning prioritizes efficient operations and verifiable clean-electricity procurement, with energy claims tied to evidence you can review.
These are design and procurement goals. Facility energy use, electricity sourcing, and environmental reporting will depend on the final site and operating arrangements.
Start with the service. Expand the capacity.
We plan to validate model access and customer workloads with teams in Canada and the U.S., using approved capacity as the service and facility plans develop.
- 01
Validate access and model fit
Evaluate request compatibility, model capabilities, routing policies, usage metering, and the needs of Figena, Cilila AI, and independent API customers.
- 02
Pilot with defined service terms
Plan limited workloads with selected customers on approved owned or partner capacity, with clear limits, data terms, billing, and support arrangements.
- 03
Grow where demand supports it
Expand model choices and dedicated capacity with customer needs in both markets, guided by operating experience and confirmed capacity requirements.
The 2028–2029 target planning window concerns the initial facility. API pilots and facility development can progress in stages, with access dates and deployment locations announced separately as they are confirmed.
Questions about the plan
Accentrust is the company behind Figena and Cilila AI. Figena is its flagship enterprise software product, and Cilila AI is the intelligence layer for understanding business context and helping teams move work forward. The AI infrastructure initiative is led by Accentrust, with model API access planned for your own applications as well as these products.
Explore more of Figena.
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