Your CTO can't make sense of scattered, unstructured information
The answers are already in your systems, but trapped in PDFs, emails, and siloed data lakes.
semantic control layer · enterprise ai
The control layer that lets you wield AI with confidence
Govern the input, context and output of your AI pipeline. Every score calibrated, every veto deterministic, every decision traceable to the passage that triggered it.
filingsreportsemailscallscontracts
Semantic Control Layer
businesscalibrated signal
Industry semantics for your sector: supply chain, counterparty and market risk.
supply_chain_disruption {
score 0.86
valence negative
confidence 0.95
}→ passage 14 · q3_filing.pdfsemantic control layer · enterprise ai
The control layer that lets you wield AI with confidence
Govern the input, context and output of your AI pipeline. Every score calibrated, every veto deterministic, every decision traceable.
filingsreportsemailscallscontracts
Semantic Control Layer
businesscalibrated signal
Industry semantics for your sector: supply chain, counterparty and market risk.
supply_chain_disruption {
score 0.86
valence negative
confidence 0.95
}→ passage 14 · q3_filing.pdf01the problem
LLM outputs are probabilistic. Regulated decisions can't be.
In regulated industries, a non-conforming or inaccurate output that reaches a customer, a regulator or a downstream system is unacceptable. Validating at scale needs precision, auditability and configurability. The usual tools fall short.
Your COO can't trust agents that operate without controlled context
Every decision depends on which policies apply, which data is relevant, which exceptions matter.
Your CRO can't defend decisions without an audit trail
Critical decisions carry real consequences for customers, regulators, and the business.
Your CFO can't greenlight
AI project without proven value
The cost is not just the build. It is the domain experts, the planning, the internal resources, and the maintenance.
01the problem
LLM outputs are probabilistic. Regulated decisions can't be.
In regulated industries, a non-conforming or inaccurate output that reaches a customer, a regulator or a downstream system is unacceptable. The usual tools fall short.
Your CTO can't make sense of scattered, unstructured information
The answers are already in your systems, but trapped in PDFs, emails, and siloed data lakes.
Your COO can't trust agents that operate without controlled context
Every decision depends on which policies apply, which data is relevant, which exceptions matter.
Your CRO can't defend decisions without an audit trail
Critical decisions carry real consequences for customers, regulators, and the business.
Your CFO can't greenlight AI projects without proven value
The cost is not just the build. It is the domain experts, the planning, the internal resources, and the maintenance.
From noisy retrievalto trusted intelligence
The semantic control layer filters noise, reduces hallucinations, and turns LLM output into explainable, traceable intelligence at scale.
02complete traceability
Every decision points back to the passage that triggered it.
Expand any concept score to see the evidence behind it: the source document, the exact span, and the confidence attached. When a compliance audit asks why your AI acted, you have a documented, exact answer.
supplier x q3 review · pdf
Competitive landscape: our primary supplier shows signs of strategic retreat in key markets.
Following the Q2 incident, Supplier X is now contractually required to maintain a 14-day inventory buffer to prevent recurrence of the production line shutdowns.negative projection ·0.91
source documents
- Supplier_X_Q3_review.pdf
concept scores
negative projection0.91
obligation0.88
supplier dependency0.79
“…contractually required to maintain a 14-day inventory buffer…”
02complete traceability
Every decision points back to the passage that triggered it.
Concept scores allow to see the evidence behind decisions. When a compliance audit asks why your AI acted, you have a documented, exact answer.
The source document, open at the page the concept fired on.
supplier x q3 review · pdfpage 4 / 12
Following the Q2 incident, Supplier X is now contractually required to maintain a 14-day inventory buffer to prevent recurrence of the production line shutdowns.
negative projection · 0.91
concept scoresthreshold ≥ 0.85
negative_projection0.91
obligation0.88
supplier_dependency0.79
Only negative projection clears the line. The other two are recorded, not acted on.
03control & governance
Enforce policies before agents act.
Every output is scored against your concepts before it moves downstream. Clear the threshold and it passes; if it falls short, or lacks the context to decide, it goes to human review.
control layer
Define
Defined concepts of interest with semantic markers data algorithms
Calibration
Precision0.975
F10.606
Recall0.440
Transparency
Audit trail confidence in a detection at runtime
classification trackcontrol layer
Content
The amended Q3 schedule is filed under Annex B, as required by the revised terms.
Concept scores
disclosure complete0.97
source grounding0.91
regulatory conformance0.85
Satisfies new terms
pass downstream
human review
filing confirmed✓
grounded in annex b✓
conforms to terms✓
03control & governance
Enforce policies before agents act.
Every output is scored against your concepts before it moves downstream. Clear the threshold and it passes; if it falls short, or lacks the context to decide, it goes to human review.
control layer
Define
Defined concepts of interest with semantic markers
Transparency
Audit trail confidence in a detection at runtime
Calibration
Precision0.975
F10.606
Recall0.440
classification track
Content
The amended Q3 schedule is filed under Annex B, as required by the revised terms.
Concept scores
disclosure complete0.97
source grounding0.91
regulatory conformance0.85
Satisfies new terms
pass downstream
human review
filing confirmed✓
grounded in annex b✓
conforms to terms✓
04concept-gated context
Context quality at every step. Precision that compounds.
A standard agent chain hands noisy context forward, leading to compounding errors. ForgeAI gates the context every agent receives, so precision compounds instead.
standard chain
- source
- no gate
- agent 10.80
- agent 20.64
- agent 30.51
- agent 40.41
- agent 50.33
forgeai chain
- source
- forgeai gate
- compliancegated
- riskgated
- strategygated
- summarygated
- final outputcompound precision
- agent dispatch
- The orchestrator routes tasks based on concept activation, so each agent only sees the context it needs.
- confidence signal
- Concept scores are surfaced at every hop for retry and escalation logic.
04concept-gated context
Context quality at every step. Precision that compounds.
A standard agent chain hands noisy context forward, leading to compounding errors. ForgeAI gates the context every agent receives, so precision compounds instead.
standard chain
- source
- no gate
- agent 10.80
- agent 20.64
- agent 30.51
- agent 40.41
- agent 50.33
forgeai chain
- source
- forgeai gate
- compliancegated
- riskgated
- strategygated
- summarygated
- outputcompound precision
- agent dispatch
- The orchestrator routes tasks based on concept activation, so each agent only sees the context it needs.
- confidence signal
- Concept scores are surfaced at every hop for retry and escalation logic.
05agentic content acquisition
Agentic content acquisition from open sources.
Retrieve a single fact in seconds, or build an entire knowledge base in minutes. ForgeAI searches dynamically, each stage driven by semantic markers in the control layer which shapes the next action, configured to your industry, your taxonomy, your questions.
Light-Search
30 secone source · one pass
Who is the CEO of Northgate Industries?
Medium-Search
5 minseveral sources · one domain
What are the key risks facing European logistics companies?
Heavy-Search
15–60 minmany sources · many domains
Build a full due-diligence profile of Northgate Industries.
05agentic content acquisition
Agentic content acquisition from open sources.
Retrieve a single fact in seconds, or build an entire knowledge base in minutes. ForgeAI searches dynamically, each stage driven by semantic markers in the control layer which shapes the next action, configured to your industry, your taxonomy, your questions.
Light-Search
30 secone source · one pass
Who is the CEO of Northgate Industries?
Medium-Search
5 minseveral sources · one domain
What are the key risks facing European logistics companies?
Heavy-Search
15–60 minmany sources · many domains
Build a full due-diligence profile of Northgate Industries.
06the platform
Built on a platform
you can see and run.
Governed queries, the concept graph behind every score and the workspace your agents run in: how markers are forged, gated and run, live on the platform page.
your infrastructureyour taxonomyyour decisions, governed
Wield AI with confidence.
Use ForgeAI instantly with your own agents. Unlock proofs of concept fast, and take them directly into production, with full ownership of your data.
06the platform
your infrastructure, taxonomy and governed decisions.
Wield AI with confidence.
Use ForgeAI instantly with your own agents. Unlock proofs of concept fast, and take them directly into production, with full confidence in your agent’s decisions.