Build, deploy, and improve AI agents.

Run them on your infrastructure, under your controls.

Hundreds of exceptional teams build on Context

QualcommCase study1,600+production agent workflows
Solenne
Wexley
Halvorsen62%fewer escalations to field engineers
FPL
Itaú
Tessellate
Corvane
Brightwater
Oakridge Mutual
Lumina
Veridian
Meridian11kagent runs a day on one deployment
Pallas
Ironbridge
Kestrel$18Min annual review hours returned to engineering
Northgate
Harrow
Atherton
Kadant

Everything agents need to work in production.

Your team and its agents, in one workspace

Chat, files, tasks and skills in one place, where every agent is a named member that works under the permissions of the person who asked.

TogetherDriveDocsSlack

Run agents on the models you choose

Pick a model from every major maker or add your own. Each task runs in its own sandbox on your cluster, on a schedule if you want, until the work is done.

Secure VMAgentsAgent IdentityOkta

Connect your agents to your tools

Each person connects their own accounts, admins register your internal services, and agents search every file the person can open.

ConnectorsSearchSalesforce, Snowflake, GitHub

Work that gets better every week

Every run is scored on your criteria, every failure improves a skill, and once a person approves the change, every run after it starts from there.

ApprovalsSkillsAudit log

TogetherTeam chat with agentsDriveCloud file storageDocsWord processingSlackYour Slack workspaceSecure VMSandbox per taskAgentsAI teammatesAgent IdentityAn identity for every agentOktaYour identity providerConnectorsApps and services for agentsSearchSearch across your workSalesforceYour CRMSnowflakeYour data warehouseGitHubYour codeApprovalsApprove agent actionsSkillsReusable agent skillsAudit logWho did what

Workspace01 of 04

Your team and its agents, in one workspace

Chat, files, tasks and skills in one place, where every agent is a named member that works under the permissions of the person who asked.

  • Hand work to an agent
  • Keep the work in one place
  • Build internal tools from a request
Explore Workspace

Engine02 of 04

Run agents on the models you choose

Pick a model from every major maker or add your own. Each task runs in its own sandbox on your cluster, on a schedule if you want, until the work is done.

  • Choose the model for each task
  • Give every task its own sandbox
  • Put recurring work on a schedule
Explore Engine

Unify03 of 04

Connect your agents to your tools

Each person connects their own accounts, admins register your internal services, and agents search every file the person can open.

  • Connect the apps your team uses
  • Register your internal services
  • Search every file you can open
Explore Unify

Evals04 of 04

Work that gets better every week

Every run is scored on your criteria, every failure improves a skill, and once a person approves the change, every run after it starts from there.

  • Score every run in production
  • Turn failed criteria into a better skill
  • Improve on the same model
Explore Evals

Product updates and engineering notes

Built for production work.

The Context on-prem appliance with its inference accelerator visible inside.

Run anywhere.

Hosted. Your VPC. Air-gapped. The on-prem Context appliance.

Use any model or agent.

Claude, GPT, Gemini, Kimi, or open weights. Bring your own agent framework, or use ours.

acme-q4-diligence
Acme · Q4 review
Draft the diligence memo for Acme — focus on Q4 risks and growth signals.
Pulling Acme's Q4 financials, support tickets, and customer calls.
acme-q4-financials.csv+247 rows
Drafting risk signals and growth opportunities from the calls.
diligence-memo.docx+89 lines
Done — 3 risk signals, 2 growth opportunities flagged.
Ask anything (⌘L)
Research
Models
Claude 4.5 Sonnet
GPT-5
Gemini 2.5 Pro
Kimi K2
Llama 4 (custom)

Enterprise-grade authorization.

Identity through your IdP. Customer-managed keys. Audit on every action. Permissions inherited at every connector call.

Audit loglive
S
sarah.chenSnowflake
select · 47 tables in finance.sales
09:42
M
marcus.leeGoogle Drive
edit · Q4-memo.docx
09:38
P
priya.shahJira
comment · ENG-4421
09:36
A
ana.martinezSlack
post · #risk-review
09:34
acme-q4-diligence
diligence-memo.docx
Acme Q4 Diligence
Summary
Acme closed Q4 above plan on revenue, with margin compression from a one-time integration spend. Pipeline coverage for Q1 is healthy at 3.1x.
Risk signals
•Top-5 customer concentration up to 41%.
•Churn in mid-market segment ticked to 4.8%.
•DSO extended by 6 days versus Q3.
acme-q4-financials.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
6
Churn
3.2%
4.8%
7
NPS
47
52

A complete working environment.

Documents, spreadsheets, decks, kanbans, and file viewers built in. Your team and agents work on the same files in the same environment.

Faster, cheaper, better

Models, agents and skills that get better with every run.
Task pass rate vs. weeks since deployment. Internal F100 enterprise benchmark: same task suite, rubric-graded, 3-run mean. Each system runs its vendor's default frontier model in its shipped configuration.
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 check every skill, model and context change against past work before it ships, so regressions are caught.

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.

The same model, better every week

Every run is scored, every failure improves a skill, and once a person approves the change, every run after it starts from there.

0%23%98%StartFour months1234The same model,with skills improvingThe same model,with nothing improving
  1. Agents do the work

    Every task runs with the permissions of the person who asked, and every step is recorded.

    Q3 portfolio review deck Files Share
    You09:20

    Build the Q3 review deck from the updates doc and the valuation bridge. Same structure as Q2, the three flagged companies up front.

    Context09:20

    Reading the Q3 updates and the bridge workbook, then drafting from the Q2 template.

    Q3 portfolio review deck
    Done in 3 min 48 s
    1. Read q3-portfolio-updates.docx, 14 companies
    2. Read q3-valuation-bridge.xlsx, 3 scenarios
    3. Draft slides from the Q2 template, 18 slides
    4. Place the flagged companies first, Northwind, Fenwick, Alder
    5. Render q3-portfolio-review.pptx, 4.1 MB
    6. Wrote q3-portfolio-review.pptx, 4.1 MB
    Wrote q3-portfolio-review.pptx, 4.1 MB
    q3-portfolio-review.pptxworkspaces/b/q3-portfolio-review-deckDeck · 4.1 MB
    Context09:24

    Deck is ready: 18 slides, the three variance companies on slides 3 to 5 with the covenant tests beside each, the full portfolio table in the appendix.

    q3-portfolio-review.pptx4.1 MB · 18 slides
    You09:31

    Add the covenant headroom chart from the workbook to the Fenwick slide.

    Context09:31

    Added. Slide 5 now carries the interest-cover chart with the 2.0x test line; the appendix table is unchanged.

    Share the deck with #q3-portfolio-review?
    Posts q3-portfolio-review.pptx to the channel and notifies the four members.
    ShareNot yet
    Ask anything
    CAuto
  2. Evals score every run

    Scorecards written by your own experts grade each run, so every failure has a name and a reason.

    Q3 portfolio review deck

    Atlas · Brindle Capital

    Maya Okafor · Today 09:24

    Workspace:
    Brindle Capital
    Avg Rating:
    2.0
    Feedback:
    1
    Messages:
    6
    Runs:
    1
    Attempts:
    1
    View Chat
    Skills used:Quarterly portfolio review

    Prompt

    # Where this task came fromYou were dispatched by Atlas, a Together agent, from the public channel #q3-portfolio-review, at the request of Maya Okafor.

    FeedbackExport Feedback CSV

    Deck qualityProject FeedbackToday, 09:41
    • Flagged companies lead the deckYes
    • Covenant test beside each flagged companyNoPriya Natarajan · Fenwick's slide has no covenant chart.
    • Appendix table completeYes
    • Overall2 / 5

    Additional FeedbackFenwick's slide has no covenant chart. The workbook's Fenwick tab holds the test.

  3. Failures become better skills

    A learning run reads the failed criteria, drafts the next version of the skill and tests it against past runs.

    Quarterly portfolio review
    Quarterly portfolio reviewSavedv3 1 improvement Improve RunSave
    Reviewing 1 suggestion from the ImproverAccept allReject all
    Quarterly portfolio review

    Build the quarterly review deck from the updates doc and the valuation bridge, flagged companies first.

    Scope
    Brindle Capital
    Tags
    portfolio
    Files
    SKILL.md deck-template.pptx Add files
    Connectors
    + Attach
    Scorecards
    Deck quality

    Steps

    1. Read the quarter's updates doc and the valuation bridge workbook.
    2. Draft the slides from last quarter's template, one company per slide.
    3. Place every company more than 10% off plan first, on slides 3 to 5.
    4. Add the covenant chart from the workbook to each flagged company's slide.
    5. Render the deck and post it to the review channel with the flagged companies named.

    Written by

    Atlas · from the Q3 review deck task

  4. Every run starts from the fix

    Once a person approves the new version, every run after it starts from that improvement, on any model.

    Quarterly portfolio review
    Quarterly portfolio reviewSavedv32/3 Improve RunSave
    Quarterly portfolio review

    Build the quarterly review deck from the updates doc and the valuation bridge, flagged companies first.

    Scope
    Brindle Capital
    Tags
    portfolio
    Files
    SKILL.md deck-template.pptx Add files
    Connectors
    + Attach
    Scorecards
    Deck quality

    Steps

    1. Read the quarter's updates doc and the valuation bridge workbook.
    2. Draft the slides from last quarter's template, one company per slide.
    3. Place every company more than 10% off plan first, on slides 3 to 5.
    4. Render the deck and post it to the review channel with the flagged companies named.

    Written by

    Atlas · from the Q3 review deck task

Task pass rate over four months, with one marker for each stage. Measured at Qualcomm: 23% to 98% over four months on the same model. The shape of the curve between those points is illustrative.

Own your intelligence

How Context compares to Codex, Claude, Copilot and Gemini Enterprise. Host it in your own cloud, run any model on your own keys, and keep your data and the skills your team builds. Hover a mark for the fact and its source.

DifferenceContextCodexOpenAIClaudeAnthropicCopilotMicrosoftGeminiGoogle Enterprise
Any model, on your own keys
Runs in your own cloud or air-gapped
Every run scored, skills improved
Agents act as the person
Agents work inside the team

A dash means partly, or that the vendor's pages did not specify this when read on 21 September 2026. See all nine questions

Industries

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Prebuilt agents for industry-specific workflows, systems, and controls.

Connectors

Connects to the tools you already use

Connect a source once. Agents read, work, and write back under the access rules you set.

800+ connectors across data warehouses, documents, CRMs, ticketing, and internal systems.

Your workflow, running in your environment.

Bring a workflow your team runs today and watch it run on your data, with your permissions.