Services¶
Services → engagements
We don’t sell licenses. We sell epistemic safety.
You can only trust an AI system if you can explain what it did, why it did it, and what would change the decision. Our services are designed to reduce hallucination risk and make outcomes measurable.
Engagements (pick the risk level you’re in)¶
Epistemic Audit
Diagnosis: where hallucinations come from in your stack, and what a decision-grade roadmap looks like.
Architecture Blueprint
Design: ontology, constraints, ingestion strategy, and a client-owned reference architecture.
Red-Team Evaluation Sprint
Stress test: adversarial prompts, policy edge cases, drift scenarios, and “unknown” handling — before it hits production.
Implementation
Execution: build the glass-box memory layer, enforcement gates, traces, monitoring, and team handover.
Governance & Constraints Pack
Policy-as-code: encode rules, escalation paths, and shape validation so the system can deterministically block violations.
Ongoing Partnership
Retainer: continuous audits, governance updates, model reviews, and reliability tracking.
Services map (pages and how they connect)¶
flowchart TB
%% Styles (brModel Standard)
classDef i fill:#D3D3D3,stroke-width:0px,color:#000;
classDef p fill:#B3D9FF,stroke-width:0px,color:#000;
classDef r fill:#FFFFB3,stroke-width:0px,color:#000;
classDef o fill:#C1F0C1,stroke-width:0px,color:#000;
classDef s fill:#FFB3B3,stroke-width:0px,color:#000;
S_You("👤 You"):::s
I_Int(["🎯 What do you need right now?"]):::i
P_Start("📞 Start a conversation"):::p
P_Audit("🔎 Epistemic Audit"):::p
P_Blue("📐 Architecture Blueprint"):::p
P_Impl("🧑💻 Implementation"):::p
P_Partner("🤝 Ongoing Partnership"):::p
R_Road(["🧾 Roadmap + go/no-go gates"]):::r
R_Arch(["📐 Reference architecture + constraints scope"]):::r
R_Stack(["🧠 Governed memory + traces + monitoring"]):::r
O_Safe(["✅ Decision-grade operation"]):::o
R_Red(["🧪 Red-team evaluation sprint"]):::r
R_Pack(["🔒 Governance & constraints pack"]):::r
M_Method("📐 Methodology"):::p
M_Constr("🔒 Constraints & SHACL"):::p
R_Gov("🏛️ Governance approach"):::p
S_You --> I_Int --> P_Start
P_Start --> P_Audit --> R_Road --> P_Blue --> R_Arch --> P_Impl --> R_Stack --> P_Partner --> O_Safe
P_Audit --> R_Red
P_Blue --> R_Pack
R_Road -. "de-risks" .-> P_Blue
R_Arch -. "build plan" .-> P_Impl
P_Partner -. "keeps safe" .-> P_Impl
P_Audit -. "assesses" .-> R_Gov
P_Blue -. "encodes" .-> M_Constr
P_Impl -. "implements" .-> M_Method
%% Clickable nodes
click P_Start "/services/start/" "Start"
click P_Audit "/services/epistemic-audit/" "Epistemic Audit"
click P_Blue "/services/blueprint/" "Architecture Blueprint"
click P_Impl "/services/implementation/" "Implementation"
click P_Partner "/services/partnership/" "Ongoing Partnership"
click M_Method "/methodology/" "Methodology"
click M_Constr "/methodology/constraints/" "Constraints & SHACL"
click R_Gov "/reasoners/governance/" "Governance"🧭 This is the Services router: start with 📞 intake, then move from 🔎 diagnosis → 📐 design → 🧑💻 build → 🤝 continuous governance. The yellow boxes are optional accelerators (red-team and constraints pack) that attach to the phase where they are most effective.
Diagram: how engagements fit together¶
flowchart TB
%% Styles (brModel Standard)
classDef i fill:#D3D3D3,stroke-width:0px,color:#000;
classDef p fill:#B3D9FF,stroke-width:0px,color:#000;
classDef r fill:#FFFFB3,stroke-width:0px,color:#000;
classDef o fill:#C1F0C1,stroke-width:0px,color:#000;
classDef s fill:#FFB3B3,stroke-width:0px,color:#000;
P_Start("📞 Start"):::p
I_Min(["📥 Minimal inputs: decision, data, constraints"]):::i
G_Enough{"Clarity sufficient?"}:::s
P_Audit("🔎 Epistemic Audit"):::p
R_Find(["🧾 Findings: risks, gaps, gates"]):::r
G_GoA{"Proceed?"}:::s
P_Blue("📐 Blueprint"):::p
R_Design(["📐 Design: ontology, constraints, trace schema"]):::r
G_GoB{"Ready to build?"}:::s
P_Impl("🧑💻 Implementation"):::p
R_Ship(["🧠 Governed system + monitoring"]):::r
G_Need{"Ongoing governance?"}:::s
P_Part("🤝 Partnership"):::p
O_Stable(["✅ Stable decision-grade operation"]):::o
O_Stop(["🛑 Stop / rescope (not a fit yet)"]):::s
P_Start --> I_Min --> G_Enough
G_Enough -->|"no"| P_Audit --> R_Find --> G_GoA
G_Enough -->|"yes"| P_Blue
G_GoA -->|"no"| O_Stop
G_GoA -->|"yes"| P_Blue
P_Blue --> R_Design --> G_GoB
G_GoB -->|"no"| P_Audit
G_GoB -->|"yes"| P_Impl --> R_Ship --> G_Need
G_Need -->|"yes"| P_Part --> O_Stable
G_Need -->|"no"| O_Stable
%% Clickable nodes
click P_Start "/services/start/" "Start"
click P_Audit "/services/epistemic-audit/" "Epistemic Audit"
click P_Blue "/services/blueprint/" "Blueprint"
click P_Impl "/services/implementation/" "Implementation"
click P_Part "/services/partnership/" "Partnership"🚦 This diagram makes the decision points explicit: we start from minimal inputs, decide whether an 🔎 audit is needed to reach design clarity, gate the move into 📐 blueprint, and only then commit to 🧑💻 implementation. Partnership is a deliberate choice based on how much ongoing change you expect.
Diagram: the risk-reduction loop we build¶
flowchart TB
%% Styles (brModel Standard)
classDef i fill:#D3D3D3,stroke-width:0px,color:#000;
classDef p fill:#B3D9FF,stroke-width:0px,color:#000;
classDef r fill:#FFFFB3,stroke-width:0px,color:#000;
classDef o fill:#C1F0C1,stroke-width:0px,color:#000;
classDef s fill:#FFB3B3,stroke-width:0px,color:#000;
I_Data(["📥 Data reality (files, DBs, policies)"]):::i
P_Model("🧠 Memory model + provenance"):::p
P_Gate("🔒 Constraint gate"):::p
G_OK{"Constraints pass?"}:::s
R_Trace(["🧾 Trace package (path, evidence, rules)"]):::r
R_Measure(["📊 Review + measurement (gates, drift, incidents)"]):::r
O_Improve(["✅ Controlled improvement loop"]):::o
S_Block(["🛑 Refuse + record reason"]):::s
I_Data --> P_Model --> P_Gate --> G_OK
G_OK -->|"yes"| R_Trace --> R_Measure --> P_Model
G_OK -->|"no"| S_Block --> R_Measure
R_Measure --> O_Improve
%% Clickable nodes
click P_Gate "/methodology/constraints/" "Constraints & SHACL"
click R_Trace "/methodology/brcausalgraphrag/" "Trace objects"
click P_Model "/methodology/property-and-knowledge-graphs/" "Graphs"🔁 This is the risk-reduction flywheel: improve reliability by enforcing 🔒 constraints, generating 🧾 trace artifacts, and turning incidents into measurable model/ontology/constraint updates. Refusal is a first-class outcome, not a bug.
Ready to discuss fit?¶
The fastest start is usually an Epistemic Audit. If you already have clarity and sponsorship, go straight to a Blueprint.