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.

Connectors

Connect authorised systems. Build the private relationship layer.

KynticAI is built to inject approved records and source structure inside the customer-owned data plane, including connectors and customer-approved one-off imports. Free open-source Scout stores data items as attribution paths and relationship sets, then hands the model top-example JSON without sending raw operational data into KynticAI product operations.

Buyer spark

The magic is not the connector. The magic is the moment the source field becomes a decision.

A CRM stage, a support ticket, a cookie, an email address, a product view, or a CSV import stops being scattered noise and becomes a relationship fact the engine can compare.

The buyer sees their own systems staying in place instead of another rip-and-replace platform.

The data team sees a controlled source path, not a vague prompt dump.

The revenue team sees a task: follow up, register, recover, escalate, or retain.

Data Source Connectors

The goal is simple: let each source keep doing its job while the KynticAI relationship layer stores exact authorised data items privately, preserves attribution paths, compares relationship sets, and creates model-ready JSON for a decision, workflow, or task.

SQL Server

Database · Enterprise

Core

PostgreSQL

Database · Enterprise

Core

MySQL

Database · Enterprise

Core

SQLite

Database · Free open source

Core

Oracle DB

Database · Enterprise

Pilot

Salesforce

CRM · Enterprise

Pilot

HubSpot

CRM · Enterprise

Pilot

Dynamics 365

CRM · Enterprise

Pilot

SAP

ERP · Enterprise

Pilot

REST API

Generic · Free open source

Core

GraphQL

Generic · Free open source

Core

CSV / Flat Files

File · Free open source

Core

Email Engagement

Communication · Enterprise

Pilot

SharePoint

Document · Enterprise

Pilot

Azure Blob

Storage · Enterprise

Pilot

AWS S3

Storage · Enterprise

Pilot

Snowflake

Warehouse · Enterprise

Next

BigQuery

Warehouse · Enterprise

Next

Connector example

Source fields become top-example JSON.

Illustrative sample data only. A real connector pilot agrees source access, credential handling, role/purpose controls, and audit boundaries before any operational data is used.

01 / Sources

Existing systems and imports stay controlled

Salesforce.stage = renewal

Zendesk.open_tickets = 5

PostgreSQL.login_drop_pct = 31

OneOffImport.source = customer-approved import pack

02 / Relationships

KynticAI stores attribution paths

attributionPath = CRM -> support -> usage_drop

relationshipStrength = high

similarPattern = won after support fix

confidence = medium-high

03 / Action

The model gets top-example JSON

topExample = won after support fix

recommend = send support-resolution note

include source trail

route = customer-success owner

Fortress model handoff and proposed Elite walkthrough

Fortress sends governed top-example JSON to the customer's own LLM or approved internal workflow. The proposed Elite path shows how Discovery MCP, synthetic demo, Fortress pilot scope, approved model boundary, and outcome review fit together.

Llama

Local or private runtime · Open-source model

Mistral

Local or private runtime · Open-source model

Qwen

Local or private runtime · Open-source model

Approved hosted adapter

Deployment-specific · Future or optional model API

Private model gateway

Customer-approved endpoint · Optional model API

Human and AI workflows

Customer workflow · Action layer

Evidence Results

Connectors in action.

What happens when source systems produce relationship analysis instead of another raw-data copy.

KynticAI Result
Logistics

Synthetic 3PL scenario - WMS, transport, staffing, dock sensors

Connector evidence becomes an action

Facility Birmingham is heading for an SLA miss. Tuesday night shift had three of eight pickers absent, creating a 340-unit backlog while dock doors 4-7 sat idle for 2.3 hours.
KynticAI Result
Insurance Ops

Synthetic insurer operations scenario - policy, broker, claims trend

Expose the hidden policy pattern

Flood Domestic claims in the North West show a 23% higher payout ratio through Broker Channel X, with wording variance in 68% of reviewed cases.
KynticAI Result
Hospitality

Synthetic hotel scenario - booking journey, channel, POS

Revenue loss hiding in the journey

RevPAR is down 12% despite flat occupancy. OTA bookings rose to 62% of mix because the direct booking path is three clicks slower than the OTA path.

Need a Connector We Have Not Listed Yet?

Tell us which systems matter and what next-best task you want to support. Enterprise pilots can prioritise the connector path around a concrete relationship-analysis workflow.

Evidence Results

Connectors turn source events into relationship facts.

These examples show how authorised systems become useful evidence without losing the source trail.

KynticAI Result
Logistics

Synthetic 3PL scenario - WMS, transport, staffing, dock sensors

Connector evidence becomes an action

Facility Birmingham is heading for an SLA miss. Tuesday night shift had three of eight pickers absent, creating a 340-unit backlog while dock doors 4-7 sat idle for 2.3 hours.
KynticAI Result
Insurance Ops

Synthetic insurer operations scenario - policy, broker, claims trend

Expose the hidden policy pattern

Flood Domestic claims in the North West show a 23% higher payout ratio through Broker Channel X, with wording variance in 68% of reviewed cases.
KynticAI Result
Hospitality

Synthetic hotel scenario - booking journey, channel, POS

Revenue loss hiding in the journey

RevPAR is down 12% despite flat occupancy. OTA bookings rose to 62% of mix because the direct booking path is three clicks slower than the OTA path.