26CHECKS ON EVERY CONTRACT
Document intelligence: documents in, decisions out.
Contracts and reports become searchable findings and risk flags, traceable to the source. We build custom document AI for teams with more paperwork than time to read it.
Results
Less reading, faster decisions.
93%
Less manual effort (estimate)
Pivot AI · vendor analyticsup to80%
Faster contract reviews
Neo Fulkrum · contract AI26
Checks on every contract
Neo Fulkrum · contract AITraceable to the source
Every finding, checkable.
A risk flag is only useful if someone can check it. That is why the findings in the systems we build are traceable to the source: each one points back to the document and passage it came from.
A reviewer can confirm a flag without re-reading the whole file, and every decision leaves a trail. That is what makes audit-ready review possible.
Because the findings are structured and searchable, you can look across many documents at once instead of opening files one by one.
Contract screening · Neo Fulkrum
Contracts, screened.
Neo Fulkrum is AI contract screening and governance built for Fulkrum. Every contract is checked against 26 points, and each result comes with an audit-ready trail.
Instead of reading every clause from the start, reviewers begin with what the screening found and spend their time on the decisions that need a person. Review cycles are up to 80% faster.
Report analytics · Pivot AI
Thousands of reports, one view.
Pivot AI turns thousands of inspection reports into vendor scores and risk indicators for Fulkrum.
Instead of reading reports one by one, teams compare vendors on the same measures and see where risk is building. The result: an estimated 93% less manual effort.
Computer vision
Defects, found and scored.
Some of the most important records aren't text. We build computer vision that detects and classifies defects in drone and façade imagery, with confidence and severity scores.
01
Detect
Find defects in drone and façade imagery, so people don't have to inspect every photo by eye.
02
Classify
Label each defect by type, so findings can be grouped, counted and compared.
03
Score
Attach a confidence score and a severity score to every finding, so the most serious issues get reviewed first.
Where it runs
From the model to the cloud.
Document and vision models need dependable pipelines, storage and compute to run every day. We design, build and operate the whole system, including the infrastructure underneath. See our cloud and DevOps work.
When a finding should trigger an action, such as opening a task or notifying a team, an AI agent can take the next step within the permissions you set.
Start a project
Drowning in documents?
Tell us what you review, roughly how much of it, and what a good decision looks like. We'll tell you how we'd approach it.
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