Where does the recommendation land?
The acquisition route clears the hurdle rate in year two, against year four for greenfield. Slide 3 carries the recommendation; sensitivities and sourcing sit on slides 9 through 11.
Context agents run the research, build the model, and draft the deliverable in your firm's format, with every claim sourced and prior engagement knowledge applied.
Built for the enterprise
Client confidentiality, traceability, predictable cost, and time to value, addressed before an agent touches an engagement.
Client data stays segregated
Each engagement's data stays inside its own boundary in your perimeter. Confidential client material is never sent to a vendor cloud or mixed across clients.
Every claim sourced
Each figure and assertion in a deliverable traces to the document, dataset, or interview that supports it, ready for partner review.
Predictable cost per deliverable
Routine steps run on cheaper models, and the most capable ones are saved for genuinely novel analysis, so research and drafting stay affordable at firm scale.
Fast time to production
Bring a research or modeling workflow your teams run today and have it live in production within a week.
Use cases
From kickoff to the final readout.
Secondary research
Scan filings, expert calls, and licensed data, synthesize the landscape, and hand back a sourced briefing.
Modeling and analysis
Build and stress financial and operational models, reconcile inputs, and explain the sensitivities driving the answer.
Deliverable drafting
Turn the analysis into a client-ready deck or memo in the firm's house style, with every claim cited.
Diligence support
Run commercial and operational diligence across a data room and surface the findings that change the thesis.
Knowledge management
Capture each engagement's methods and outputs into the firm's knowledge graph so the next team starts ahead.
Proposals and staffing
Draft proposals from prior work and match the right experience to the next engagement.
Sourced by default
Every claim is sourced
Each claim cites the exhibit, filing, or expert call behind it, so the partner reviews judgment instead of re-checking facts.
- Claims carry inline citations to the exhibit or source document.
- The deck pulls its numbers from the same model the synthesis cites.
- Each engagement compounds into firm knowledge the next one starts from.
Faster, cheaper, better
Custom models trained on your work
Your team's accepted outputs become training data for models you own and serve, and they beat general-purpose agents on your specific tasks.
Evals gate every change
Rubrics and golden sets validate every runbook, model, and context change against past work before it ships. Regressions are caught automatically.
Step-level model routing
Each step routes to the cheapest model that clears your rubric. Frontier models handle only the genuinely novel, so cost falls without losing quality.
One platform, four products
Workspace, Engine, Unify, and Evals cover research, modeling, and drafting end to end, on your infrastructure and under your controls. The platform learns your firm's methods, prior work, and house style, and applies them to every engagement.
How it improves over time
Each accepted deliverable makes the next one better. Partner corrections become the standard the next run is held to.
Connect your systems
The firm's knowledge base, prior work, and licensed sources connect once under your existing permissions.
Agents do the work
Research, modeling, and drafting runbooks execute inside your perimeter, each step traced to its sources.
Partners correct
Reviewers accept or correct outputs in the flow of work, and corrections are captured as standards, not lost in markup.
The firm specializes
Routine work moves to cheaper models that still meet your bar, and models trained on the firm's approved work outperform general ones.
Prebuilt agents for your team
Turnkey agents for Consulting, integrated with your systems and deployed in days. Each one runs inside your perimeter under your identity and permissions.
Works with your systems
Context connects to the tools this work already lives in, and every connector call inherits the caller's permissions. These are the systems the agents above plug into.
Deployment options
Consulting teams run Context hosted, in their own cloud, fully air-gapped, or on premises. Sensitive data is never moved into someone else's cloud.
Run anywhere
Hosted, in your own cloud account on AWS, Azure, or GCP, fully air-gapped with no outside connection, or on the on-prem appliance. The same platform in every setup.
The data stays yours
Your team's approved work trains models you own. What the system learns about your firm stays inside your environment and never leaves it.
Agents get only the user's access
Agents sign in through your identity provider, like Okta or Azure AD, and get the same access as the person using them, and nothing more.
Every action is logged
Every run is recorded step by step, with who ran it and what it touched. Nothing an agent does is a black box to the team accountable for it.
Talk to us.
Bring a research brief, a model, or a past deck. We will show you what Context does with it inside your perimeter.