Build, run, and improve AI agents

Build, run, and improve AI agents

Context builds Bedrock, the enterprise platform for deploying agents into real workflows. Connect your systems, run agents safely, and use evaluation to make them better over time.

Context builds Bedrock, the enterprise platform for deploying agents into real workflows. Connect your systems, run agents safely, and use evaluation to make them better over time.

Bedrock brings Workspace, Engine, and Evals into one operating loop.

Bedrock brings Workspace, Engine, and Evals into one operating loop.

Bedrock is the platform behind production agents

1.Workspace
Collaborative surface
Workspace
Where humans, agents, apps, data, and outputs come together to produce real work.
Draft and review deliverables
Coordinate human and agent work
Keep context attached to outcomes
View workspace
2.Engine
Execution layer
Engine
Connect enterprise data, apps, tools, and secure sandboxes so agents can run with permissioned context.
Connect systems and integrations
Respect permissions and controls
Store operational learning over time
View engine
3.Evals
Quality loop
Evals
Use traces, rubrics, scoring, and annotations to define what good means and improve agents after every run.
Capture traces and reviewer feedback
Score quality against rubrics
Turn evaluation into learning
View evals

A system that improves with every run

01

Connect the work

Bring data, apps, tools, and permissions into a secure agent runtime built for enterprise workflows.

02

Run agents in context

Agents plan, use tools, and produce work inside the systems and surfaces teams already rely on.

03

Evaluate the outcome

Traces, rubrics, annotations, and reviewers measure quality, grounding, policy, and completeness.

04

Compound what works

Each run creates learning that improves workflows, agents, and future outputs over time.

What teams get with Bedrock

Measurable quality

Define standards, score outputs, and improve performance over time.

Connected context

Give agents access to the systems and data they need, with controls.

Safer execution

Run workflows in secure sandboxes with human checkpoints.

Human control

Keep experts in the loop for review, approval, and annotation.

Reusable workflows

Turn one-off agent work into repeatable operating patterns.

Compounding learning

Capture feedback from every run and feed it back into the system.

Built for enterprise workflows

  • Planning for retirement

    Model different scenarios, optimize withdrawal strategies, and ensure your portfolio aligns with your retirement timeline and risk tolerance.

  • Rebalancing your portfolio

    Identify allocation drift, receive rebalancing recommendations, and maintain your target asset mix without emotional bias or guesswork.

  • Optimizing for taxes

    Discover tax-loss harvesting opportunities, manage capital gains efficiently, and maximize after-tax returns with intelligent timing strategies.

  • Managing portfolio risk

    Quantify your exposure with advanced metrics, stress-test against market scenarios, and understand how volatility impacts your holdings.

Financial services

Legal and compliance

Operations

Customer teams

Financial services

Diligence, portfolio monitoring, deal screening, and investment committee materials with traceable agent work.

Trusted by leading enterprises across industries

Built to adapt to the unique demands of every industry, helping enterprises operationalize AI across their most critical business functions.

Your questions, answered

What is Bedrock?

How do Workspace, Engine, and Evals work together?

How does Bedrock connect to enterprise systems?

How are agents evaluated?

How do humans stay in control?

Can Bedrock run in secure environments?

Transform today

Get started with Context and see how AI can transform how you work.