Inject
Any data item
Connectors or approved one-off imports load email addresses, cookies, events, CRM rows, products, support, billing, documents, and outcomes.
Store
Attribution paths
Scout stores each item's relationship set, vector, and ordered attribution path in customer-owned PostgreSQL/pgvector. Fortress moves high-load memory into Rust/LanceDB, not KynticAI product operations.
Compare
Rust + LanceDB
Enterprise contains the proprietary Rust relationship, weighting, traversal, and LanceDB path for fast similarity analysis across millions of relationship sets.
Output
Top-example JSON
The engine creates JSON with the best examples, importance bands, confidence, caveats, and ranked task options for the question being asked.
Explain
LLM task brief
Fortress sends JSON to your approved model boundary. The proposed Elite path shows the executive walkthrough from safe discovery to scoped pilot and outcome review.
Scout / Fortress / Elite Case Studies
Each case study shows the full chain: synthetic event data, Scout artefacts, Fortress relationship-set comparison, Elite outcome prompts, and the textual recommendation passed back to the team.
Synthetic demo runtime evidence only. No live customer data, customer ROI, vendor certification, production SLA, or production vector-database proof is claimed.
8
Synthetic domains
120
Journeys per domain
960
Vector records
10
Scenario queries
Scenario spark
Each scenario is there to create recognition fast: scattered events, hidden relationship path, ranked examples, and a task recommendation a team can actually review.
The buyer sees their workflow before they see another product diagram.
The technical team sees the Scout, Fortress, and Elite chain in motion.
The investor sees repeatability across domains without needing live customer claims.
Runtime Baseline
Source: PaulJMaddison/universalcontextlayer-enterprise, `scripts/run-demo-journey-runtime.py`. Generated 17 June 2026. JSON status: Parsed successfully.
DEMO_RUNTIME=Scout/Fortress/Elite
DOMAINS=8
JOURNEYS_PER_DOMAIN=120
VECTOR_RECORDS=960
SCENARIO_QUERIES=10
ELITE_JSON=one_prompt_per_outcome
DATASET=synthetic_only
RAW_CUSTOMER_DATA=noneElite Prompt Contract
Scout creates the evidence trail. Fortress ranks the comparable relationship sets. Elite receives the governed facts and outcome-specific prompts, then writes the operational recommendation.
You are Elite, the KynticAI recommendation-writing layer.
You receive governed Fortress output, not raw customer data. Use only the supplied relationship-set facts, scores, confidence labels, alternatives, caveats, and outcome goal.
Write a decisive operational recommendation for the accountable team. Your output must include:
1. Recommended action.
2. Why this action is supported by the comparable relationship sets.
3. What to do now.
4. When to choose one of the alternative actions.
5. What outcome to capture so the system improves.
Rules:
- Do not invent facts outside the governed handoff.
- Do not promise revenue, retention, clinical, legal, financial, safety, or compliance outcomes.
- Do not apologise for using synthetic demo data.
- Be commercially useful, specific, and direct.
- Keep human review and claim boundaries visible where the domain requires them.Detailed Case Studies
A shopper emails, searches the site, views page A, checks delivery, and needs a recommendation that is better than a generic discount.
Primaryconverted_purchase
Options4
Elite JSONprompt per outcome
A support-heavy journey shows why the best action can be service recovery before sales pressure.
Primaryretained_after_support
Options4
Elite JSONprompt per outcome
A firm turns a cautious research journey into a partner-led next action with cited evidence.
Primarymeeting_booked
Options4
Elite JSONprompt per outcome
A high-utilisation account needs confidence and delivery recovery before anyone sells more.
Primaryrenewed_after_save_plan
Options4
Elite JSONprompt per outcome
A lane with sensor, carrier, ETA, and dock-slot signals gets a specific operational intervention.
Primarylane_stabilised
Options3
Elite JSONprompt per outcome
Referral backlog, clinic capacity, transport, and admin blockers become an operations recommendation.
Primarypathway_capacity_protected
Options3
Elite JSONprompt per outcome
Covenant, document, drawdown, and relationship-manager signals route to governed risk operations.
Primarywatchlist_review_completed
Options3
Elite JSONprompt per outcome
Deadline, privilege, clause conflict, and counsel-question signals become a legal-ops handoff.
Primaryprivilege_safe_escalation_completed
Options3
Elite JSONprompt per outcome
Sensor, spare-part, and technician signals drive a maintenance recommendation before downtime expands.
Primarydowntime_prevented
Options3
Elite JSONprompt per outcome
Attendance, LMS, assessment, and support-ticket signals become an operations support plan.
Primarycohort_support_plan_started
Options3
Elite JSONprompt per outcome
Build Yours
Start with the closest domain, choose the authorised data slice, run Scout/Fortress on the customer-owned data plane, and use Elite explanations only from governed JSON and reviewed outcomes.
Evidence Results
These examples help buyers recognise the pattern in their own sales, support, operational, or governance data.
Runtime pack - multiple domains, one relationship-analysis pattern
Recognise your own workflow
“The case studies prove the same product chain across ecommerce, logistics, legal, manufacturing, education, healthcare operations, and professional services.”
Runtime pack - governed JSON to text recommendation
See the model explain evidence
“Each case shows how governed relationship JSON can become a clear operational recommendation through the buyer's approved model or workflow route.”
Runtime pack - feedback into relationship memory
Turn examples into a learning system
“Each case ends by asking what outcome should be captured so the recommendation loop improves.”