Financial Services

Review data rooms faster and draft memos with every figure sourced

Fig. 1Context Workspace
P&L attribution · spreadsheet
  • Pull the daily attribution numbers.

  • Loaded. Last row 2026-05-26 shows the −23.4 bps decay; rolling SUMPRODUCT in the formula bar.

p&l-attribution-may-w22.xlsxResize to read

Context agents run diligence, monitoring, and reporting on your own systems, under each user's own permissions. Sensitive data never leaves your perimeter.

data room
1,284 docs ingested
diligence memo
drafted, 47 sources cited
covenant check
2 breaches flagged

Built for the enterprise

Data control, auditability, predictable cost, and time to value, addressed before anything reaches production.

Your data stays in your environment

Material nonpublic information and client data stay inside your VPC or air-gapped enclave. Nothing is shipped to a vendor cloud to be processed.

Full traceability

Each number an agent produces traces back to its source and the run that produced it, ready for compliance and audit review.

Predictable cost per case

Routine steps run on cheaper models, and the most capable ones are saved for genuinely novel work, so the cost of a diligence pack or a report is one you can forecast.

Fast time to production

Bring a workflow your team runs today and have it live in production within a week, not after a multi-quarter build.

Use cases

Across the deal team, the desk, and the back office.

Due diligence

Assemble diligence packs, surface red flags across filings and data rooms, and draft the memo with every claim cited to its source.

Risk and exposure

Monitor limits, stress positions, and explain the day's moves in plain language for the desk and the risk committee.

Regulatory compliance

Map obligations to controls, check covenants, and keep an auditable trail behind every determination.

Performance attribution

Decompose returns, reconcile against the book, and produce committee-ready attribution on the reporting schedule.

KYC and onboarding

Gather, verify, and file onboarding documents with the checks and exception handling your policy requires.

Client and IC reporting

Turn the quarter's data into client letters and investment-committee briefs in your firm's house voice.

Traceable by default

Every figure is sourced

Each number cites the model cell or filing behind it, so review checks the work instead of rebuilding it.

  • Figures carry inline citations to the cell or document they came from.
  • Open the source in the same workspace, no hunting across systems.
  • The full run is a trace, ready for compliance and audit review.
acme-diligence
diligence-memo.docx
Acme Holdings — IC Memo
Recommendation
Revenue grew to $1.23M in Q4 model B2, up 18% on Q3, with gross margin compressing to 28.5% model B4 on a one-time integration spend.
Risk signals
Top-5 customer concentration reached 41% Acme 10-K p.12, and mid-market churn ticked to 4.8% churn.xlsx.
operating-model.xlsx
A
B
C
1
Metric
Q3
Q4
2
Revenue
$1.04M
$1.23M
3
OpEx
$0.71M
$0.88M
4
Margin
31.7%
28.5%
5
Pipeline
$3.1M
$3.9M
Every figure linked to its source47 citations

Faster, cheaper, better

Self-improving models, agents, and skills deliver better outcomes at scale.
Task completion on your team's rubric
Context94%
Claude Cowork62%
OpenAI Codex57%
Devin49%
From internal benchmarks on specialized enterprise workflows.
40
×
Faster turnaround
28
×
Lower cost per case

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 diligence, risk, and reporting end to end, on your infrastructure and under your controls. The platform learns your data dictionary, risk policy, and house style, and applies them to every run.

How it improves over time

Each accepted run makes the next one better. Corrections become the standard the next run is held to, not one-off edits.

Every completed deal makes the next one faster to staff and cheaper to run, and the data stays with your firm.
  1. Connect your systems

    Warehouses, data rooms, and systems of record connect once under your existing permissions.

  2. Agents do the work

    Diligence, risk, and reporting runbooks execute inside your perimeter, each step traced and attributable.

  3. Reviewers correct

    Analysts accept or correct outputs in the flow of work. Corrections are captured as standards, not lost in email.

  4. The work gets cheaper

    Routine work moves to cheaper models that still meet your standard, and models trained on your approved work begin to outperform general ones.

Prebuilt agents for your team

Turnkey agents for Financial Services, integrated with your systems and deployed in days. Each one runs inside your perimeter under your identity and permissions.

See all 8 agents

Deal sourcing

Pipeline against your thesis

ContextSalesforceSnowflakeSlack
Financial ServicesResearch
Deploy

Due diligence

Data rooms at deal speed

ContextBoxSnowflakeNotion
Financial ServicesResearch
Deploy

Financial modeling

LBO, DCF, sensitivities

ContextSnowflakeNetSuiteBox
Financial ServicesFinance
Deploy

Investor reporting

Quarterly updates & attribution

ContextSnowflakeNetSuiteBox
Financial ServicesFinance
Deploy

Market research

Sector intelligence on demand

ContextSnowflakeNotionSlack
Financial ServicesResearch
Deploy

Portfolio analysis

Performance & risk attribution

ContextSnowflakeTableauSlack
Financial ServicesAnalysis
Deploy

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

Financial services 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 diligence pack, a risk policy, or a reporting cycle. We will show you what Context does with it inside your perimeter.