The answer you need is often two or three steps away.
Living Context maps how the people, companies and events in your data connect, and pieces together answers no single document holds.
The search most AI tools use. It pulls the passages closest in wording to the question, then writes an answer from them.
- Q1 Margin Report.xlsx0.91Pruitt Supply gross margin, 31% to 24%
- Pruitt Supply Account Plan.docx0.87Margin targets for the year
- Sales call notes, Feb 20.84Pruitt Supply asked about volume pricing
Gross margin on Pruitt Supply fell from 31% to 24% in Q1. Call notes from February show they asked about volume pricing, so discounting is the likely cause.
Starts at the customer and follows each link to the records that explain the drop.
- CustomerPruitt Supply
- reported inReportQ1 margin, 31% to 24%
- party toContract4471
- amended byAmendmentNo. 2, expedited freight at our cost
- coversShipmentSH-2291
- discussed inEmail, Mar 14“Held at port. Switching to air.”
- billed onInvoiceAir freight, $48,200
Margin fell because Shipment SH-2291 was held at port in March and re-sent by air for $48,200. Amendment 2 to the Pruitt Supply contract makes expedited freight our cost, so it came straight out of margin.
One graph for your teams and your agents.
For your teams
Ask anything in plain English and get answers that cite the documents behind them.
“What did we promise Tolliver Foods on delivery times?”
Answers 30 days, from the original master agreement.
Within 14 days of each order. The 2024 amendment changed the term, and the account lead confirmed it by email on March 3.
For your agents
Agents get the contracts, email and history behind each task, so they make the right call on their own.
“Pay invoice INV-20931.”
Pays the full amount.
Sees that the supplier agreed by email to a $12,000 credit for a late delivery, and deducts it.
What it looks like in your industry.
Financial services
See a portfolio company’s progress against its value creation plan across board decks, monthly reports and email.
Check the claims in the CIM against the customer contracts and Q&A responses in the data room.
An agent checks quarterly compliance certificates against the credit agreement as amended, and flags discrepancies.
Insurance
See why a claim’s reserve changed, across adjuster notes, defense counsel reports and correspondence.
See what changed since last year across new claims, open loss control recommendations, underwriting notes and broker email.
An agent reviews open claims and flags the ones where costs could be recovered from a responsible third party.
Manufacturing
Find how a recurring breakdown was fixed before, from maintenance logs, OEM manuals and technician notes.
When a supplier is late, see what its agreement lets you recover and what customer contracts say about delays.
An agent drafts the 8D for a quality escape from nonconformance reports, failure analysis, past 8Ds and email.
Legal
Find which agreements need counterparty consent on a sale, reading each with its amendments and side letters.
Find deals where a fallback on the liability cap was accepted, and the emails that explain why.
An agent redlines the other side’s draft against the playbook and the agreements already signed with them.
Life sciences
Find earlier deviations with a similar root cause across sites, even when coded differently, and whether the CAPAs worked.
Find past 483 commitments, the records showing they were met, and later SOP changes that may have undone them.
An agent maps a proposed change’s impact across registrations, SOPs and validation reports for QA and regulatory review.
Utilities
See failures of an asset and its sister units across work orders, field reports and email, and what fixed them.
Find the studies, approvals and email behind a capital project’s key decisions, to support cost recovery.
An agent drafts responses to rate case data requests from prior responses, testimony and engineering studies.
Retail and consumer goods
Find what was agreed with each retailer or supplier on pricing, promotions and allowances, including changes made by email.
Trace a complaint to the supplier, factory and lot through inspection reports, corrective action plans and email.
An agent checks a retailer deduction against agreed terms and drafts the dispute, with backup from agreements and email.
Transportation and logistics
Find each customer’s delivery windows and handling rules, from routing guides and SOPs to exceptions agreed by email.
When a carrier bills detention or accessorials, find what was agreed in the contract, rate confirmation or email.
An agent drafts the claim for a damaged shipment from the bill of lading, commercial invoice, carrier contract and email.
Construction and real estate
See which subcontractor’s scope covers a piece of work, across subcontracts, scope exhibits, bid exclusions and RFIs.
Find leases with renewal options, expansion rights or co-tenancy clauses, as changed by amendments and side letters.
An agent builds a delay claim chronology from RFIs, daily reports, minutes and email, and flags late or missing notices.
Technology
See what was promised to an enterprise customer across contracts, order forms and email.
Find past incidents with the same symptoms in postmortems and incident channels, and how each was mitigated.
An agent flags which customers affected by an outage are owed service credits or an RCA, citing each contract.
Built with your team, one use case at a time.
Find the use case
We sit with your team to learn how the work gets done today, and pick the use case where Living Context will matter most.
Connect and build
We connect the apps your team already uses, and Living Context builds the knowledge graph from the documents in them.
and more…
Go live
It goes into your team’s daily work, with us close by as it rolls out. Once it’s working, we pick the next use case together.
Knowledge work for frontier labs
Living Context's data for frontier labs reflects real enterprise work. Every dataset, environment and evaluation we deliver is rooted in the work product of our network of partner enterprises spanning finance, accounting, consulting, manufacturing, healthcare and law. The data is shared with consent, de-identified, and governed by terms each partner agrees with us.
Our research process
Through our partner network, we know how each task is done correctly, so we start from the ground truth. Our time goes into finding exactly where models fall short of it: what they can truly do, where their reasoning breaks down, and how that should be fixed. For any task we observe, we break the work into its most granular ingredients: the direct and surrounding files, the criteria for success, how the request was framed, and what was ultimately delivered. We then study where each model struggles. This allows us to catch the full scope of model failure mechanisms, across omission, judgment, interpretation, traversal, scope, mechanics, and many more.
Data that fits any need
-
Pre-training
Pre-training corpora
Large, diverse collections of enterprise-grade documents and work product across industries, engagements, and file formats. Beyond a collection of files, an ongoing picture of how an organization looks.
-
SFT
Fine-tuning and supervised data
Enterprise examples of what golden documents look like. These datasets are built for SFT and preference training in specialized domains.
-
Reinforcement learning
Reinforcement learning environments and worlds
Complete, consistent company worlds, with documents that reference each other, histories that unfold over years, and the open questions and loose ends real enterprises must reconcile. Inside these worlds we curate complex, long-horizon tasks with verifiable outcomes, so models can be trained on the kind of work that takes a professional hours or days.
-
Evaluation
Evaluations and benchmarks
Model evaluations built on real knowledge work, utilizing real, observed enterprise expertise as a source of truth.
Depth & Breadth
A given enterprise situation can raise finance, accounting, tax, legal and operational questions at once. We build across domains, with work that is multi-step and shaped by real constraints.
- Finance
- Accounting
- Consulting
- Manufacturing
- Healthcare
- Law
Bridging the Gap
We differentiate by partnering with leading enterprises across relevant fields. Our company is built on the idea of giving frontier models a proper foundation in the work that industry practitioners need them for.
Inquire at partnerships@livingcontextai.com
For enterprises
Turn your data into high-value
recurring revenue.
Unlock a new high-value revenue stream from the work your business already does.
-
De-identified, anonymized, and generalized
Sensitive details removed. Useful patterns preserved.
-
A partnership on your terms
Scope, permitted uses, and terms agreed with your team.
-
Structured for greater value
We turn messy, unstructured data into high-value assets.