Product / KynticAI Context Engine
Context Engine turns authorised company data into relationship JSON the business can act on.
Context Engine is KynticAI’s main standalone product for Scout, Fortress, and the Elite path. It creates source-traced relationship context from approved company data, then hands governed JSON to the right model, workflow, or human team. It is not required by Importance Engine or Clarity Gateway.
Standalone main product. Three buying paths: prove it with Scout, private-deploy it with Fortress, and use Elite for executive walkthroughs where approved.
Context Engine
The main product path this site is built around
KynticAI’s primary product is Context Engine: sovereign relationship intelligence from authorised company data into source-traced next-task briefs. Scout proves it locally. Fortress runs privately at scale. Elite is the full leadership operating model. Other Products are standalone and optional.
Full process: How it works →Scout → Fortress → Elite
01 · Prove it locally
Scout
Free and open source. Pull in authorised events, keep attribution paths, and produce a checked packet on PostgreSQL/pgvector so your team can see the shape.
Open Scout02 · Run it privately
Fortress
The enterprise runtime: private connectors, the Rust path-weight engine, LanceDB outcome matching, and deployment under your control.
Open Fortress03 · Full operating model
Elite
Complete leadership path: discovery, demo, Fortress scope, included open-source AI model with no extra token costs, and outcome review.
Open EliteLooking for something else?
Other Products
Importance Engine and Clarity Gateway are completely standalone products — not modules of Context Engine. They live under Other Products so the main site stays focused on relationship intelligence.
Product selector
Pick the Context Engine option by where the buyer is in the journey.
The menu stays simple, but the buying path stays precise. Scout is the free proof path. Fortress is the private runtime. Elite is the executive walkthrough route around Discovery MCP, synthetic demo, Fortress scope, and outcome review.
Free open-source entry point
Scout
Teams that want to prove the Context Engine pattern locally before buying the private enterprise runtime.
Authorised data items become relationship sets, attribution paths, source trails, and schema-validated execution packet.
Run a first-source proof with PostgreSQL/pgvector, inspect the JSON, and see the task shape before enterprise rollout.
Private enterprise runtime
Fortress
Enterprises that need the Context Engine pattern inside customer-controlled infrastructure with stronger scale, governance, and support boundaries.
Private connectors, Rust/LanceDB relationship analysis, governed JSON, and customer-approved model handoff stay inside the deployment boundary.
Move from Scout proof to private runtime when volume, concurrency, governance, or enterprise ownership matters.
Executive walkthrough path
Elite
Leadership teams that want to see Discovery MCP, synthetic equivalent demo, Fortress pilot scope, and outcome-review planning in one route.
The proposed path packages local discovery, metadata-only signature approval, synthetic demo, Fortress bridge, and optional local explanation routing where approved.
Use it when the buyer needs an executive walkthrough before deciding whether Fortress pilot scope is the next commercial step.
Data in, data out
Context Engine is the business-signal product: source data in, next-task context out.
A new buyer should understand Context Engine before they understand Scout, Fortress, or Elite. It takes approved business signals, joins them into relationship context, and returns a source-traced brief for the next action.
Business signals enter
Email, CRM, support, usage, billing, product, web, document, and outcome signals enter through an approved route.
KynticAI links the relationship
The system connects those signals to the account, customer, case, event, product, or workflow moment being analysed.
Similar journeys are found
Known converted, retained, lost, escalated, or delayed examples are compared so the next task is not guessed from isolated records.
A JSON task brief comes out
The output shows the strongest examples, source trail, caveats, and next action for the chosen model, team, or workflow.
Example input
Buyer enquiry
email = buyer@example.com
event = product enquiry
web path = pricing page -> integration page
CRM status = open opportunity
support signal = no open blocker
similar outcomes = converted accounts with the same path
Example output
context_engine.object = buyer enquiry
top_example = previous enquiry with same product path and conversion outcome
task_option = send technical follow-up with integration proof
confidence = evidence-supported band
caveat = confirm procurement owner before proposal
handoff = governed JSON for approved model or human workflow
Buyer result
The buyer sees how disconnected business signals become a source-traced next action the sales team can understand.
Buyer spark
The payoff is immediate: the model receives context with provenance, not a pile of disconnected records.
Context Engine gives buyers a clean mental model and a clean buying path. Start with the free proof, move to the private runtime, then operate the value loop when the first workflow is worth scaling.
Scout makes the pattern inspectable.
Fortress makes the pattern private and enterprise-ready.
Elite makes the executive walkthrough concrete.
Design partner program · limited seats
A real program: discounted pilot, founder access, roadmap input — for one hard workflow.
Limited seats for partners who need a system that behaves on enterprise data without giving that data away. You get preferential pilot pricing, direct time with Paul, and a path to a co-branded case study. We get honest feedback on one real workflow.
Seats
Limited
Pilot window
60–90 days
Your time
2–4 hrs / month
Pricing
Typically 40–50% off
Preferential pilot pricing
Typically 40–50% below standard commercial rates on discovery and the first Fortress pilot scope, locked for the agreed pilot window (usually 60–90 days).
Direct founder access
Working sessions with Paul on architecture, data boundary, and pilot success criteria — not a hand-off to a scripted sales process.
Roadmap influence
Your real workflow shapes what we build next — connectors, brief shape, and pilot success criteria that match how you buy.
Co-branded case study path
Where both sides agree, we publish a privacy-safe outcome story your industry peers can trust.
Who this is for
- You help decide how data, AI, or integrations land in the business.
- You have one workflow where a better next task would matter this quarter.
- You can approve a narrow, read-scoped source for a pilot.
- You want data to stay under your control, not shipped into a black-box SaaS by default.
How the program works
- 1
Apply
Tell us the workflow, systems, and what good looks like in 60–90 days. Leave secrets and raw data out of the form.
- 2
20-min discussion
We confirm seat fit, constraints, and what a successful pilot looks like in 60–90 days.
- 3
Scope + terms
We lock data boundary, acceptance checks, pilot window, preferential pricing, and feedback rhythm.