Knowledge graph and ontology design
The entity types, relationships and confidence rules that let a company's knowledge be connected instead of piled.
What you get
Each deliverable names the format it arrives in. These are the formats the stack produces today.
Ontology document
Entities, predicates, rules
Extraction rules
Per source type
Seeded graph over your first source set
On the platform, or exported to your store
Handover notes
How to extend it
How it works
- 1
Map the domain
What kinds of things exist in your business and how they relate.
- 2
Set the rules
How each is recognised, merged and scored for confidence.
- 3
Seed and review
A first graph is built and reviewed before the pipeline runs on more.
Where it fits
The teams whose pages list this capability.
What runs where
On the platform
- The platform's typed ontology and confidence scoring are the starting point
Built for you
- Your domain's types and rules; an export to your own store if needed
What stays under your control
The promises that hold on every engagement, and the ones we do not make on this one.
On every engagement
- Outputs cite the document or conversation they came from, so a person can check before acting.
- A person approves anything that reaches a customer or writes to a system of record.
- Delivery is Slack, email or a document you own. Other channels are not offered.
- Fixed price, agreed before we start. Nothing numeric is published on this site.
The work runs on the TurnkeyGTM platform where it fits, and on plain software where it does not.
Not promised here
- Design plus a first build; ongoing extraction lives in the platform or your pipeline.
- Confidence scores describe extraction certainty, not business truth.
Try a piece of it
Free tools from the TurnkeyGTM ecosystem that do a small part of this job in the browser. No account needed.
Knowledge Graph Builder
Research a topic in chat and watch it become an interactive knowledge graph. Nodes, edges, and sources you approve before they land.
OKF Utility
Generate, import, convert, and validate Open Knowledge Format bundles in the browser. Free, no account required.
Questions we get asked
More in knowledge & data
Transcript tagging and classification
Call, interview and support transcripts classified against a taxonomy you approve, each tag linked to the passage it came from.
See the deliverablesCall and meeting intelligence
Sales and customer calls become a searchable record of pain points, objections and requests you can question across every call you have on file.
See the deliverablesDocument and intake extraction
PDFs, forms, emails and transcripts turned into structured records — names, dates, amounts, decisions — queued for a person to approve before they land anywhere.
See the deliverablesHow an engagement runs
One call to scope it, one fixed price to approve, one build you can trust before it goes live, then a handover.
The full process- 1
Scope the work
A thirty-minute call on what your team does by hand every week, where the information lives, and who needs the output.
- 2
Fixed price, ROI up front
You get a written proposal with a fixed price and an honest estimate of the hours it gives back.
- 3
Build beside your process
We design and build the automation and run it next to the manual version until the outputs match and you trust them.
- 4
Hand over, keep it running
Documentation and runbooks so your team owns it.
Tell us where this fits in your week.
A thirty-minute call is enough to scope it. Fixed price, agreed before we start.