Context Bedrock
Three products. One learning loop.
Workspace captures execution traces. Engine connects institutional knowledge. Evals measures quality and drives improvement. Together: AI that compounds with every task.
The Challenge
Models are smart enough. They don't know your company.
Models keep improving. Deployments keep failing. The gap isn't intelligence — it's institutional context: your procedures, decision boundaries, exceptions, and definition of quality.
Permissioned actions and full execution traces
Workflows orchestrate across ticketing, docs, code, CRM, and messaging without copying data into a separate “AI vault.” Agents read and act through your existing systems, with policy gates where you need them.
- Sandboxes with the same OS images your teams use for day-to-day work
- Connector graph with OAuth and inheritance from IdP and app roles
- Immutable run logs suitable for security review and post-incident analysis
Full-document retrieval across the enterprise stack
Listings and reads are structured like operations on a tree: list a channel, open a doc, follow links, cite line ranges. That is how you get grounded answers without hand-maintained knowledge bases.
- Permission-aware listing and retrieval — no over-sharing across teams
- Provenance on every citation so experts can audit model output quickly
- Streaming query UI so stakeholders see coverage across sources in real time
Rubric-driven measurement and continuous refinement
Dashboards roll up quality by workflow, team, and time so you can ship confidently and regress less as models and tools change underneath you.
- Multi-dimensional rubrics authored by domain experts, not generic checklists
- Diff-friendly proposals when the system suggests rubric or instruction updates
- Tight loop from production trace → grade → improvement without exporting data
The execution surface
Workspace is where agents do real work in your environment — not chat-only suggestions. Each run happens inside permissioned sandboxes across Linux, Windows, and macOS, with connectors that inherit the same access your teams already have.
Every step is recorded: what context was pulled, which tools ran, what changed, and what a human corrected. That trace is the raw material for learning — the data no generic LLM deployment ever captures.
How We Work
From discovery to deployment
Our team partners with you through every step—assessing fit, designing your deployment, and scaling across your organization.
Discovery
We audit your AI initiatives, technical infrastructure, and organizational readiness.
Design
Custom deployment plan with clear milestones and success metrics for your company.
Deploy
Phased rollout across teams, starting with high-impact use cases.
Scale
Continuous support and optimization as you expand across the organization.
Why Bedrock
One platform.
Every function.
Bedrock is the unified infrastructure layer that connects execution, knowledge, and quality standards — giving you AI that understands how your organization works.
Capture the work
Every workflow produces a complete execution trace — what context was retrieved, what the agent did, what the human corrected. This is the data no other system captures.
Compound the knowledge
As your teams use Context, traces accumulate into context graphs. Corrections refine rubrics. The system gets more accurate and more efficient with each task completed.
Self-serve by design
At our first enterprise deployment, engineers authored 99.3% of workflows themselves. New teams reach first production case in 5 days. Service dependence collapses within 90 days.
Deploy where you need it
Fully managed cloud, private VPC, or air-gapped on-premises. Wherever your security requirements demand.
Request a demo →Compliance & Security
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CCPA ReadyFully managed cloud platform. We handle infrastructure, updates, and scaling. You focus on workflows.
Get started now→Dedicated instance with complete tenant isolation, custom configuration, and dedicated support.
Talk to Sales→Runs in your AWS, Azure, or GCP account. Full control over networking, data residency, and access policies.
Talk to Sales→Your hardware, your network. Complete data sovereignty with air-gapped and disconnected operation support.
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