Engineering and R&D leaders
Need cited answers from specs, tickets, chat, and approvals before reviews, launches, and audits.
Answers your team
can verify.
Context turns scattered company knowledge into citation-backed answers with source traceability, refusal when evidence is weak, and deployment inside your infrastructure.
Why did we choose Kafka over RabbitMQ? Show the decision trail and who approved it.
Draft a PRD for the auth overhaul — pull requirements from the last three postmortems.
Map every service that touches PII and show which ones lack encryption-at-rest runbooks.
Who made the last five architecture decisions on Project Orion? Show the Slack threads.
What do we know about customer churn in Q4? Trace the data back to support tickets and NPS.
Build a compliance brief for FedRAMP — pull controls from Confluence and evidence from Jira.
Show me how the billing service dependencies changed after the March reorg.
What knowledge gaps would appear if the platform team left tomorrow?
Why did we choose Kafka over RabbitMQ? Show the decision trail and who approved it.
Draft a PRD for the auth overhaul — pull requirements from the last three postmortems.
Map every service that touches PII and show which ones lack encryption-at-rest runbooks.
Who made the last five architecture decisions on Project Orion? Show the Slack threads.
What do we know about customer churn in Q4? Trace the data back to support tickets and NPS.
Build a compliance brief for FedRAMP — pull controls from Confluence and evidence from Jira.
Show me how the billing service dependencies changed after the March reorg.
What knowledge gaps would appear if the platform team left tomorrow?
Best fit
Start where wrong answers are expensive.
Do not pitch everyone at once. Start with the team that already pays the cost of missing evidence, weak traceability, and lost decision history.
Security and compliance teams
Need proof trails, refusal on weak evidence, and deployment inside their own environment.
Product and operations leaders
Need to recover why decisions were made, what changed, and who approved it without digging through five tools.
Why teams switch
Search finds files.
Trust needs evidence.
Company knowledge is split across docs, chats, tickets, and internal systems. Traditional search returns fragments. Generic AI fills gaps with guesses. The result is slower decisions, repeated work, and risk when teams cannot trace an answer back to source.
If the answer cannot be verified, teams will not trust it.
What you get
Citation-backed answers
over company knowledge.
Context connects docs, chats, tickets, and internal systems so teams can find answers faster, verify every claim with source evidence, and keep decision history traceable over time.
Proof System
Why the answer
still holds up.
Context keeps the proof chain intact. Evidence stays attached to the source, decisions stay traceable, deployment stays in your environment, and unsupported claims surface as visible gaps instead of guesses.
Evidence survives handoffs, audits, and vendor reviews.
Runs in your VPC, on-prem, air-gapped, or on a Mac mini.
Cycles when idle. Hover or tap to inspect.
Core Layer
knowledge graph
Links docs, tickets, people, and approvals so the answer keeps structure instead of collapsing into fragments.
Grounding
source evidence
Slack, Gmail, Notion, Jira, and dozens more stay inspectable as evidence.
Traceability
decision history
Changes stay attributable, so teams can recover what changed, why, and who approved it.
Trust Boundary
your environment
Runs in your VPC, on-prem, air-gapped, or on a Mac mini for smaller teams.
Trust Behavior
Refusal over hallucination.
Citation-backed answers only.
Every answer comes
with proof.
Source links, timestamps, and traceability back to the systems your team already uses.
Find answers faster across scattered company knowledge.Runs in your VPC. Your data never leaves.Verify every answer with source evidence.Refuses unsupported claims when evidence is weak.Search across docs, chats, tickets, and systems.Keep decision history traceable over time.Give leadership answers they can act on.Make audits easier with traceable answers.Runs inside your environment from day one.Reduce time-to-evidence on critical questions.Keep institutional knowledge usable as teams change.Find answers faster across scattered company knowledge.Runs in your VPC. Your data never leaves.Verify every answer with source evidence.Refuses unsupported claims when evidence is weak.Search across docs, chats, tickets, and systems.Keep decision history traceable over time.Give leadership answers they can act on.Make audits easier with traceable answers.Runs inside your environment from day one.Reduce time-to-evidence on critical questions.Keep institutional knowledge usable as teams change.Find answers faster across scattered company knowledge.Runs in your VPC. Your data never leaves.Verify every answer with source evidence.Refuses unsupported claims when evidence is weak.Search across docs, chats, tickets, and systems.Keep decision history traceable over time.Give leadership answers they can act on.Make audits easier with traceable answers.Runs inside your environment from day one.Reduce time-to-evidence on critical questions.Keep institutional knowledge usable as teams change.
How it works?
Connect your sources, ground answers in evidence, and keep history traceable over time.
Connect Your Sources
Ingest documents, chat threads, tickets, code, and internal systems without forcing teams into a new workflow. Context indexes the evidence where it already lives.
Ground Answers In Evidence
Context links people, projects, systems, and decisions across tools, then traces every answer back to the underlying sources. When evidence is weak, it says so.
Search Across Systems
Connect Slack, Jira, Confluence, GitHub, SharePoint, and more so questions can be answered across the places work actually happens.
Answer with Proof
Every sourced answer includes citations, timestamps, and traceability to the underlying records. When support is missing, the system refuses unsupported claims.
Keep Decision History
Preserve why decisions were made, what changed, and who approved it so context stays usable as teams and tools evolve.
Start small
See it on your data in 30 days
We deploy Context in your environment, connect a focused set of sources, and measure trust, time-to-evidence, and adoption. You only expand if the pilot proves out.
< 2 min
Time-to-evidence for critical questions
95%+
Citation accuracy on sourced answers
80%+
Target-role adoption within 30 days
The pilot is scoped to one team and up to three integrations. We handle deployment, configuration, and onboarding. You get a dedicated solutions engineer and a success report with measurable outcomes at day 30.
[SEE IT ON YOUR DATA]
30-minute scoping call. One team, focused sources, clear success criteria.
Built for high-stakes teams
Internal AI that stays inside your environment
Context runs in your VPC, on-premises, or in air-gapped environments so teams can get answers with evidence without sending company knowledge to a vendor cloud.
- Your data is never used for model training
- Zero cloud dependencies -- runs entirely in your VPC
- Full audit trail on every query, answer, and citation
- End-to-end encryption at rest and in transit
AICPA
SOC2
SOC 2 Type II (In Progress)
Independent audit of security controls and data handling practices
Runs In Your Environment
Deployed on your infrastructure -- nothing leaves your network perimeter
PII Redaction
Automatic detection and redaction of sensitive personal data
Refuses Weak Claims
Says "I don't know" when evidence is missing -- never fabricates answers