Free open-source Scout private data plane
Scout
Scout is the free open-source private data-plane path for proving sources, selectors, snapshots, APIs, and local integration behaviour before enterprise rollout.
Read product pageInvestor Pack
The investor story behind the relationship layer.
KynticAI owns the layer between enterprise data and model output: free Scout for the proof path, Fortress for private Rust/LanceDB runtime value, Elite for the on-prem model and outcome loop, plus optional engines that expand the suite.
Product Map
The product suite investors should understand first.
Enterprise private runtime
Fortress
Enterprise/Fortress is the customer-controlled runtime path for private connectors, attribution paths, schema-validated execution packet, and the proprietary Rust/LanceDB relationship engine around sensitive operational systems.
Read product pageContext ranking, conversation, or forensic patterns
KynticAI Importance
Importance Engine is split into KynticAI Importance Kernel, KynticAI Agentic Importance Framework, Klopp Engine, and Forensic Pattern Matching Engine so each public page has a clear claim boundary.
Read product pageOptional intent routing
Clarity Gateway
Clarity Gateway can optionally resolve ambiguous intent before generation, then hand a cleaner request to the right model, tool, workflow, or human route.
Read product pageInvestor spark
The investor story is simple: own the relationship layer before the model speaks.
KynticAI is building the part of enterprise AI that should become more valuable as more approved outcomes accumulate: the private relationship memory between company data and the next task.
Free Scout creates the adoption wedge.
Fortress and Elite create the enterprise value path.
Importance Engine and Clarity Gateway expand the product suite without becoming required parts of Context Engine.
Investor Materials
The proof points that make the first conversation credible.
These materials support a serious first conversation. Sensitive files are shared through the investor request path so the website stays clean, commercial, and focused on the product story.
ReadyUpdated 2026-06-17
KynticAI product operations surface
KynticAI's product operations surface supports reviewed commercial workflows: accounts, contacts, licences, entitlements, data-plane registration, aggregate usage, downloads, support, audit, health, OpenAPI, GraphQL, and lead handling.
- Product operations proof is ready for founder-led commercial conversations.
- Keeps commercial workflow separate from customer-owned operational data.
- Account, lead, support, licence, entitlement, and data-plane registration surfaces are separated from raw customer data by design.
Source: Product operations readiness material
Use as product-access proof for reviewed onboarding, not as a public self-serve SaaS or customer ROI claim.
Ready2026-05-28
Waitlist and contact path
The public contact path supports product updates, customer proof requests, and investor access requests with KynticAI team follow-up.
- Hosted rejection checks passed for unsafe or invalid requests.
- The public form keeps secrets, credentials, and raw customer records out of the first contact step.
- Investor and customer proof requests route into a reviewed next step.
Source: Contact-form safety checks and hosted request flow
Use this as the safe CTA for demo, investor, and technical walkthrough conversations.
Ready2026-05-28 and 2026-06-15
Website and product story
The website, product pages, scenario pages, assumption-based demo, waitlist path, and investor materials are in place for serious first conversations.
- Static export, sitemap, robots, and launch checks have been run locally.
- Live kynticai.com pages were checked after the approved IONOS publish.
- The site now routes buyers to scenarios, evidence demo, discovery, waitlist, and investor summary.
Source: IONOS go-live checks and current marketing site state
Publishing still uses the approved IONOS password-popup flow when Paul asks to deploy.
ReadyUpdated 2026-06-17
Enterprise/Fortress evidence runtime
The Enterprise/Fortress evidence runtime proof is ready: a synthetic source can move through embedding, vector write, relationship analysis, and L3 evidence synthesis for technical review.
- Recorded local run: 30 processed synthetic events, 0 skipped events, 0 dead letters.
- Recorded embedding shape: 384-dimensional vectors.
- Ready validation evidence supports the buyer story for the private Enterprise/Fortress runtime.
Source: Enterprise runtime notes, ready validation path, and L0-to-L3 benchmark material
Use as product proof while handling customer-scale sizing, provider-specific validation, and live deployment details in a technical walkthrough.
ReadyUpdated 2026-06-17
Enterprise core engine benchmark
The Enterprise core engine benchmark proof is ready: a privacy-safe synthetic, production-shaped proof lane passed with 100,000 vector seed rows, 101,000 final rows, 500 measured vector/search samples, and 19/19 ENT-008 checks.
- Tracked machine-readable reports exist for proof review.
- ENT-008 pipeline proof used real ONNX mode, real LanceDB mode, 384-dimensional embeddings, and synthetic data.
- The website can show the ready state while full logs are shared through the technical walkthrough path.
Source: ENT-041/ENT-008 benchmark proof report and ready validation path
Do not treat this as a production SLA, customer deployment, regulated compliance claim, or live-customer outcome.
Ready2026-06-15
Scout integration surface
Scout provides the free open-source Context Engine path for source registration, selector shaping, snapshots, relationship facts, JSON output, APIs, and developer-facing integration behaviour.
- Generic SQL source-to-relationship path is documented.
- n8n package slice has local validation, redaction, fixtures, tests, build, and package dry-run.
- The public story is strong enough for developer and design-partner conversations.
Source: Scout integration docs and local package validation
Marketplace publishing and vendor certification are handled as separate commercial steps.
ReadyUpdated 2026-06-17
Importance Engine and Clarity Gateway product lanes
Importance Engine and Clarity Gateway are separate product families: Importance Engine is split into KynticAI Importance Kernel, KynticAI Agentic Importance Framework, Klopp Engine, and Forensic Pattern Matching Engine, while Clarity Gateway resolves ambiguous intent before model, human, or AI routing.
- KynticAI Importance Kernel supports licence-ready scoring and context compression; KynticAI Agentic Importance Framework supports local-first decision-support workflows; Klopp Engine supports human-friendly conversation over ranked context; Forensic Pattern Matching Engine supports evidence-cited pattern analysis.
- Clarity Gateway supports CLI, proxy, SDK, MCP, routing, Redis-mode work, and safe-error handling for cleaner intent before generation.
- They can integrate with Context Engine when those product paths are chosen.
Source: Importance Engine and Clarity Gateway ready product proof
Use these as ready product-depth proof points in investor and customer demos with evidence-weighted positioning, review paths, and outcome caveats.
Connector Story
Connector scenarios show how the wedge becomes enterprise expansion.
Buyers need a clear view of what is ready now, what is scoped with each customer, and which connector families expand next.
ReadyFree open source
Scout generic SQL/PostgreSQL path
Reads an approved source row, maps it through a selector, writes an evidence fact and snapshot, and returns API-shaped evidence with provenance.
Generic SQL source-to-evidence validation is available in the public free open-source Scout materials.
Good first demo path when a buyer wants to see a source become reusable evidence.
ReadyFree open source
Scout REST, CSV, mock, and source-event contracts
Public connector contracts, catalogue labels, manifest validation, and local test harnesses support safe connector authoring.
Developer validation is available through the local connector model and test harness.
Best for developer discovery and free open-source credibility.
ReadyFree open-source package slice
Scout n8n event sink
Maps incoming workflow items to Scout source-system events with validation coverage, sensitive-key redaction, fixtures, tests, build, and package dry-run.
Package validation is ready for technical review.
Useful for workflow automation conversations before any marketplace publication step.
ReadyPrivate enterprise
Enterprise/Fortress private enterprise connectors
SQL Server, PostgreSQL, REST/CRM, email metadata, first-party events, and metadata skeletons are ready in the private-runtime connector story.
Connector catalogue proof is ready for private technical review.
Customer-specific credentials, records, and deployment details stay inside the agreed technical walkthrough.
ReadyPrivate enterprise
Provider metadata families
MongoDB, Stripe, ecommerce, Intercom, Pipedrive, ServiceNow, Asana/monday.com, and GitHub-style metadata families are ready as enterprise connector proof paths.
Metadata-family proof is ready while customer-specific provider acceptance remains private.
Strong for showing breadth across private enterprise connector proof paths and customer-specific acceptance routes.
ReadyPrivate enterprise
Document and object-store corpus
The document-corpus story is ready: provider routing, event parsing, document extraction, masking, safe provenance, and vector boundaries have validation proof.
Document and object-store validation is ready for a controlled technical walkthrough.
Use as a ready expansion path while live customer provider credentials remain private.
PlannedRoadmap
Future marketplace families
Snowflake, BigQuery, Oracle, NetSuite-style ERP variants, and other customer-specific integrations remain roadmap or assessment work.
New families are promoted only when the customer or partner use case justifies them.
Good for showing expansion potential without overclaiming.
Scout SQL source-to-evidence validation
ReadyOpen-core demo path
Available for technical review
Scout n8n local package validation
ReadyWorkflow automation slice
Hosted-validated and available for technical review
Enterprise connector catalogue review
ReadyPrivate connector families
Validated and ready for private technical walkthrough
Document and object-store corpus validation
ReadyDocument and object-store expansion
Hosted-validated and ready for controlled review
Demo Flow
From connector scenario to useful output.
The demo flow starts with a value target, not a spreadsheet of status labels. It shows how a source becomes evidence and how that evidence becomes a sharper business action.
1. Pick the value target
Choose the workflow where authorised source systems can support a recommendation: conversion probability, retention action, support escalation, operations review, or customer-service follow-up.
Start with a buyer problem, not a connector catalogue.
2. Choose the source slice
Select a safe SQL row, source event, n8n workflow item, or private connector metadata slice for a first demo.
Use fictional, sandbox, redacted, or customer-approved material.
3. Map source fields into relationship facts
Selectors convert approved fields into relationship facts such as preferred channel, risk pattern, entitlement status, recent activity, and similar outcome signals.
The important move is turning source noise into reusable business meaning.
4. Assemble the before/after story
The data plane creates reusable relationship analysis for an account, user, case, incident, or investor question.
Show what the team does today and what the KynticAI workflow makes obvious tomorrow.
5. Request the right next step
A support brief, sales triage note, operations summary, or investor pack can show which connector facts were used.
Move serious detail into a pilot or investor conversation.
Requested Materials
What the investor pack can contain.
The deeper pack is a private investor workspace, not a public download. Access depends on fit, review context, and what can be shared safely.
- Product and architecture summary for free open-source Scout, Enterprise/Fortress, Elite, KynticAI Importance Kernel, KynticAI Agentic Importance Framework, Klopp Engine, Forensic Pattern Matching Engine, Clarity Gateway, and the KynticAI product-operations boundary.
- Investor pack index with source documents, dates, status notes, and review context.
- Connector scenario map covering ready, scoped, and planned source families.
- Validation paths for Scout SQL, n8n local package review, enterprise connector families, and document-corpus expansion.
- KynticAI product operations readiness summary for founder-led commercial conversations.
- Waitlist and contact-path summary for pilot and investor requests.
- Enterprise/Fortress, KynticAI Importance, and Clarity Gateway product-depth summaries.
- Assumption/demo worksheet for editable hours-saved, evidence-reuse, connector-scope, and risk-reduction assumptions.
- Commercial review notes covering rollout assumptions and the next validation steps.
Request Access
Ask for the investor pack.
Use the investor request form to ask for the deeper material or a specific product conversation. KynticAI will respond manually with the appropriate next step.