No system owns the whole answer
The work lives in GitHub and Jira. The result lives in support, usage, and the CRM. Nothing joins them, so a senior engineer rebuilds every answer by hand.
The context engine for technology companies
ProductNow brings what engineering, product, sales, support, and your agents know into one living context engine. Ask a question from Slack, Teams, a meeting, or any MCP-connected agent and get the current, permission-aware answer—with the evidence attached.
Every team. Every agent. One context engine.
Slack · Teams · Meetings · MCP
ProductNow
Context engine
Coding agents
Cursor · Claude Code · Codex
Assistants
ChatGPT · Claude · Copilot
Team agents
Triage · Roadmap · Incidents
The problem
The answer usually exists. It is just split across code, tickets, calls, chat, CRM, and the people who remember why a decision was made.
The work lives in GitHub and Jira. The result lives in support, usage, and the CRM. Nothing joins them, so a senior engineer rebuilds every answer by hand.
A customer commitment can live in a call recording while its delivery status lives in Jira and GitHub. No search box can answer across all three.
Coding agents can see the repo, but not the architecture decision, customer ask, support history, or commercial consequence behind the work.
Every team builds another wiki, assistant, or RAG pipeline. The company ends up with more places to search and still no shared answer.
One living context engine
ProductNow continuously resolves what your systems know with what only your people know. The result is a shared, current answer that every person and agent can trust—not another plausible summary.
Code, tickets, CRM, support, chat, meetings, and documents. A new source is queryable in about a day.
Conflicting records resolve into living, permissioned context that reflects what the company knows now—not what a document said last quarter.
Agents join the evidence across systems, score their confidence, and cite the records behind every conclusion.
When the answer was never written down, ProductNow asks the person who knows, captures the answer, and makes it available to everyone who should know it.
One question, four systems
Asked in Slack
“Which promises from customer calls this quarter never became engineering work?”
Evidence joined across systems
Answer grounded in four sources and reconciled moments ago.
Illustrative example. Answers come from your own connected systems, with every source cited.
Zero behavior change
No new destination to adopt and no workflow to relearn. Keep asking, deciding, meeting, and building in the tools your teams and agents already use—then bring the context engine into the conversation.
ProductNow interfaces
Just +ProductNow in.
One living context engine, available in every place work already happens. No tab switching. No second workflow. No behavior change.
Plus us into the conversation
Ask in a channel, thread, or DM. ProductNow answers from the context engine, cites the evidence, and finds the person who knows when context is missing.
Keep work moving in Teams
Bring ProductNow into a chat or channel to answer across the company and follow up with experts without opening another destination.
Add us to the next meeting
Invite the ProductNow meeting agent to capture decisions, commitments, and expert knowledge, then connect them to everything else in the context engine.
Ground the agents already in use
Give ChatGPT, Claude, Cursor, Codex, and your own agents permission-aware access to the same context engine through one MCP connection.
Behind every interface, ProductNow continuously reconciles code, tickets, CRM, support, incidents, documents, meetings, and people—using the permissions you already have.
Questions no system can answer alone
Each answer joins context across systems and people, resolves what is current, and cites the records behind the conclusion. When the context engine is missing something, ProductNow asks the person who knows.
“Which changes this month hurt customers?”
Connects deployments, usage, and support evidence to show which changes created real customer pain.
“Which promises on calls never became work?”
Compares commitments from calls with tickets and code to show which promises have no delivery path.
“What are customers asking for that we already built?”
Connects requests to accounts, usage, and shipped capabilities so the real demand becomes visible.
“Is this escalation a real defect?”
Checks code, docs, past tickets, and customer context to explain whether the behavior is expected and why.
“Is there already a service that does this?”
Finds the existing service, its inputs and outputs, its owner, and the decisions that shaped it.
“Has this happened before, and who owns it?”
Reconstructs prior incidents, related changes, and neighboring owners so the team starts with what the company already learned.
Why the answers are trustworthy
A context engine is only useful when people can see where an answer came from, know it reflects the latest context, and trust that existing access controls still apply.
Permissions follow groups, users, and folders, so every person and agent sees only the context they are allowed to see.
Every answer links back to the records, conversations, and people behind it. Anyone can inspect how the conclusion was reached.
As source systems change, ProductNow reconciles those changes into living context instead of leaving another stale index behind.
SOC 2 Type II, tenant isolation, and a strict no-train policy. Hosted, or deployed into your own AWS account.
No lock-in to one model provider. Set model preferences for your organization.
We consume the data model you already have instead of imposing a new one.
Connect two systems that never talk to each other, ask one cross-team question, and see the answer come together with the evidence attached—right where your team already works.
Connect GitHub plus your CRM or ticketing system.
Ask a question neither system can answer on its own.
Get the grounded, cited company answer in Slack, Teams, a meeting, or your agent.