Your control layer API
Context is gated on the way in; outputs are scored and vetoed on the way out.
enterprise ai
ForgeAI sits between your data and your decisions. Every input passes through the Semantic Control Layer; every output is governed, explainable and ready for the agents and workflows you already run. In your environment, from day one.
enterprise ai
ForgeAI sits between your data and your decisions. Every input passes through the Semantic Control Layer; every output is governed, explainable and ready for the agents and workflows you already run. In your environment, from day one.
inputs & sources
governed outcomes
01 / your agents · day one
No experts to hire, no annotation tooling to build, no pipeline code to maintain. The control layer is already trained, calibrated and audited; your agents simply start using it, on your own documents.
Context is gated on the way in; outputs are scored and vetoed on the way out.
ForgeAI can govern the workflow of any of your LLM providers.
Your data, your taxonomy, your keys. Full ownership at every stage.
01your agents · day one
No experts to hire, no annotation tooling to build, no pipeline code to maintain. The control layer is already trained, calibrated and audited; your agents simply start using it, on your own documents.
Context is gated on the way in; outputs are scored and vetoed on the way out.
ForgeAI can govern the workflow of any of your LLM providers.
Your data, your taxonomy, your keys. Full ownership at every stage.
02 / deployment options
Regulated industries, data-residency requirements and sovereign deployments all demand control over where compute runs and where data rests. Four options, one control layer.
ForgeAI runs in our AWS environment, with full per-customer isolation.
Dedicated infrastructure for your deployment, with a single-tenant application data store.
Client-managed encryption keys and KMS for the VM and applications, HSM-backed handling where required.
Choose your own LLM and embedding providers. ForgeAI governs the workflow regardless of provider.
02deployment options
Regulated industries, data-residency requirements and sovereign deployments all demand control over where compute runs and where data rests. Four options, one control layer.
ForgeAI client applications run securely in AWS, with strict per-customer isolation built in by design.
Dedicated infrastructure for your deployment, with a single-tenant application data store.
Client-managed encryption keys and KMS for the VM and applications, HSM-backed handling where required.
Choose your own LLM and embedding providers. ForgeAI governs the workflow regardless of provider.
03 / security & compliance
Designed to answer the questions your security team will ask before approving any AI vendor, and to satisfy the EU AI Act's transparency and audit-trail requirements by design, not by retrofit.
Per-customer isolation at the infrastructure level. Managed single-tenant deployments for teams with strict data-separation requirements.
Client-managed Key Management Service for the VM and application runtime. You control the keys; ForgeAI operates within them.
Client-managed encryption keys for the application data store. HSM-backed key handling where required.
SSO via SAML and OIDC. Role-based access control with separation of control plane and data plane.
Native security controls, VPC isolation, encryption at rest (AES-256) and in transit (TLS 1.3). No third-party infrastructure dependencies.
Every classification logged. Every output traceable to source, concept and reasoning chain. A full audit trail designed for regulatory defensibility.
03security & compliance
Designed to answer the questions your security team will ask before approving any AI vendor, and to satisfy the EU AI Act's transparency and audit-trail requirements by design, not by retrofit.
Per-customer isolation at the infrastructure level. Managed single-tenant deployments for teams with strict data-separation requirements.
Client-managed Key Management Service for the VM and application runtime. You control the keys; ForgeAI operates within them.
Client-managed encryption keys for the application data store. HSM-backed key handling where required.
SSO via SAML and OIDC. Role-based access control with separation of control plane and data plane.
Native security controls, VPC isolation, encryption at rest (AES-256) and in transit (TLS 1.3). No third-party infrastructure dependencies.
Every classification logged. Every output traceable to source, concept and reasoning chain. A full audit trail designed for regulatory defensibility.
04 / relevance, not volume
One configuration layer turns a horizontal model into a governed vertical solution. The model core stays what it is (GPT, Claude, Gemini or other...) but it only ever sees the text that matters: scored and filtered before inference, validated and explained after it.
05 / economics · cost at scale
Standard per-search pricing applies to most deployments. ForgeAI's optimisation and distillation layer then creates lighter, purpose-trained models from your usage patterns, replacing full-inference searches with a materially lower cost per search as usage grows.
04relevance, not volume
One configuration layer turns a horizontal model into a governed vertical solution. The model core stays what it is (GPT, Claude, Gemini or other...) but it only ever sees the text that matters: scored and filtered before inference, validated and explained after it.
05economics · cost at scale
Standard per-search pricing applies to most deployments. ForgeAI's optimisation and distillation layer then creates lighter, purpose-trained models from your usage patterns, replacing full-inference searches with a materially lower cost per search as usage grows.
06 / across industries
ForgeAI applies across verticals while remaining specifically configurable to each one: your taxonomy, your thresholds, your evidence.
Track risk signals across earnings calls, filings, news and supplier disclosures. Reduce false-positive alert volume with calibrated precision.
Generate targeted company risk profile reports with sourced signals, classified by severity and traceable to evidence.
Classify adverse-event signals, extract regulatory obligations and structure clinical evidence across submissions and safety literature.
Classify prompts, retrieved context and model responses against your policy, with a full audit trail on every decision your agents make.
06across industries
ForgeAI applies across verticals while remaining specifically configurable to each one: your taxonomy, your thresholds, your evidence.
Track risk signals across earnings calls, filings, news and supplier disclosures. Reduce false-positive alert volume with calibrated precision.
Generate targeted company risk profile reports with sourced signals, classified by severity and traceable to evidence.
Classify adverse-event signals, extract regulatory obligations and structure clinical evidence across submissions and safety literature.
Classify prompts, retrieved context and model responses against your policy, with a full audit trail on every decision your agents make.
07 / outcomes & engagement
24 h
go / no-go decision
Bring your use case. Automated discovery and agentic concept detection test its viability on the spot.
10 ×
efficiency & reliability
Improvement in the efficiency and reliability of generative AI outputs under the control layer.
1 schema
shared across every team
New teams inherit the core configuration and customise from there. Expansion is incremental, not a rebuild.
We'll uncover where ForgeAI can add control, apply semantic markers and the governance layer, and shape a fast proof of concept around your environment. Discovery starts in 24 hours, with a clear path from validation to production.
07outcomes & engagement
24h
go / no-go
decision
Bring your use case. Automated discovery and agentic concept detection test its viability on the spot.
10×
efficiency &
reliability
Improvement in the efficiency and reliability of generative AI outputs under the control layer.
1schema
shared across
every team
New teams inherit the core configuration and customise from there. Expansion is incremental, not a rebuild.
ForgeAI can apply semantic markers and the governance layer, to provide a proof of concept around your use-cases. Discovery starts in 24 hours, with a clear path from validation to production.