Computex 2025
“A great example of an agentic experience. It’s a breakthrough for productivity.”
Cristiano Amon
CEO, Qualcomm
Build, deploy, and improve AI agents.
Run them on your infrastructure, under your controls.
Trusted by teams at
Trusted by teams at
Context, execution, identity, and evals on one foundation.
Everything agents need to work in production.
Modules for every role, tool, and use case.
One platform for building, running, and improving agents.
Momentum factor decay · overnight
Momentum factor underperformed the 7-day rolling avg by 23 bps last night. Pull the feature pipeline + check vendor feed health.
On it. Diffing the feature graph against the last successful EOD run and pinging feed-health for each upstream vendor.
Root cause: FactSet schema drift on fundamentals.fcf_yield. Pipeline imputed NaN, the momentum signal got noisier, and attribution moved 23 bps. Wrote the postmortem.
Pin the schema check?Adds a type-equality assertion on fundamentals.fcf_yield and notifies #trading-ops on the next drift.
Pin it. And add a watch rule so we catch the next one before EOD.
Pinned. Schema check is live; vendor-schema-drift-watch is armed.
ChatResize to read
Customers
Proven at scale, trusted by the Fortune 500.
From fast-growing startups to global enterprises, Context powers mission-critical workflows with speed and reliability.
Featured story
1,600
Production workflows across 85 teams.
Scaled from 5 workflows in four months
Built for production work.
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.
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
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marcus.leeGoogle Drive
edit · Q4-memo.docx
09:38
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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
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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
Self-improving models, agents, and skills deliver better outcomes at scale.
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 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.
Continuously improve with every layer of context your team adds.
$20094%task-completion accuracy
23%$7compute cost per case
Raw agent
Off the shelf
A frontier model with no context. Where it stays, frozen at deployment.
+ Domain documents
The “what”
Facts, files, and relationships. Necessary, not sufficient.
+ Plain-English runbooks
The “how”
Procedures, approvals, and the order work actually happens in.
+ Rubrics and golden sets
Your standard
Your team's definition of good, captured and held to.
100 production workflows at Qualcomm. Same base model in every stage.
Own your intelligence with infrastructure you control.
Codex and Cowork route every task to one lab's frontier models, in the lab's cloud. Vertical tools lock you to a single interface. Context is the execution layer you run: on your compute, across any model, with the learning loop staying yours.
Enterprise permissioning
Context
Agents inherit each user's permissions from your IdP. Every action is authorized before it touches data.
Codex
Scoped to a provider account
Cowork
Scoped to a provider account
Vertical tools
Per-app roles on one surface
Model choice
Context
Any model. Claude, GPT, Gemini, Kimi, or open weights, whichever wins the task.
Codex
OpenAI models only
Cowork
Anthropic models only
Vertical tools
The vendor's fixed stack
Cost over time
Context
Accepted work distills into cheaper models you own. Metered in CCUs, decoupled from any model vendor.
Codex
Frontier inference, cost scales with use
Cowork
Frontier inference, cost scales with use
Vertical tools
Flat per seat or per query
Deployment
Context
Your VPC, on-prem appliance, or air-gapped. Compute and identity stay on your side.
Codex
Provider's multi-tenant cloud
Cowork
Provider's multi-tenant cloud
Vertical tools
Multi-tenant SaaS
Agent choice
Context
Run any agent or framework on the platform, not a single vendor's.
Codex
One vendor agent
Cowork
One vendor agent
Vertical tools
A closed, fixed workflow
Internal systems and retrieval
Context
800+ permissioned connectors and an institutional-context engine grounding every run.
Codex
A handful of connectors
Cowork
A handful of connectors
Vertical tools
Source connectors for one domain
Humans and agents together
Context
People and agents share one environment, filesystem, and deliverables.
Codex
A solo coding agent
Cowork
An assistant surface
Vertical tools
Single-user chat
Evaluation suite
Context
Rubrics, golden sets, and dashboards built in. Every run scored automatically.
Codex
None built in
Cowork
None built in
Vertical tools
None built in
Data ownership
Context
Traces, rubrics, and tuned models stay in your perimeter. You own them.
Codex
Flows to the model provider
Cowork
Flows to the model provider
Vertical tools
Locked inside the vendor
Models, frameworks, and vendors change. The platform you run, and the data your team generates inside it, stays with you.
Built for the work in your industry.
Prebuilt agents for industry-specific workflows, systems, and controls.
Semiconductors
Design verification, fab analytics, and field diagnostics.
View use cases & agentsFinancial Services
Diligence, risk, and compliance.
View use cases & agentsConsulting
Research, modeling, and deliverables.
View use cases & agentsTelecom
Network ops, customer support, and field analysis.
View use cases & agentsPublic Sector
Intelligence, mission analysis, and operations.
View use cases & agentsIndustrials
Operations, quality, and supply chain.
View use cases & agentsBusiness Operations
Procurement, audit, and finance ops.
View use cases & agentsInsurance BPO
Intake, claims, and policy admin.
View use cases & agentsLegal
Contract review, regulatory, and matters.
View use cases & agents
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.
Browse all connectors →Data and warehouses
Snowflake
Databricks
BigQuery
Postgres
LookerDocuments and knowledge
Box
Notion
Confluence
Google DriveCRM and support
Salesforce
HubSpot
Zendesk
ServiceNowEngineering and communication
Jira
GitHub
Slack
MS Teamsand hundreds more, across 18 categories
Some of the agents built on these connections
Asana