Computer makes your company queryable

Your company already knows the answer. The positioning framework marketing finalized two weeks ago. The deal structure sales used for the last healthcare customer. The root cause engineering found for that intermittent timeout. The approval logic finance applies to non-standard payment terms.

It's all there, somewhere. Spread across Salesforce, Jira, Zendesk, Slack, Google Workspace, Confluence, and another 40 tools your teams use every day.

The problem isn't knowledge. The problem is access. Your company has the answers. It just can't answer.

Computer changes that.

What "queryable" actually means

A queryable company is one where any team member can ask a natural-language question and get an accurate, context-rich answer drawn from every system the organization uses. Not a list of links. Not a redirect to "ask someone in that team." The actual answer, with the reasoning behind it, the precedent that supports it, and the permissions that govern who sees what.

Y Combinator's Diana Hu recently described this as the defining shift for AI-native companies:

every important process should be captured by an intelligent closed loop. The whole organization should be legible to AI. That's the architectural requirement behind the word queryable.

Diana Hu

Partner at Y Combinator

The old world ran as open loops. Decisions happened, but the reasoning fragmented across tools and the context evaporated when people changed roles. Open loops are inherently lossy. The bigger the company, the more gets lost.

A queryable company closes the loop. Every decision, every approval, every resolution gets captured in context, connected to the entities it touches, and made available for the next person who needs it.

The cost of not being queryable

Most enterprises aren't queryable yet. The tax shows up daily:

The waiting tax. A tech lead needs marketing's positioning direction to update the website. He sends a Slack message, waits for a response, gets pointed to a Google Doc from last quarter, realizes it's outdated, and schedules a meeting. Three days lost. The context existed; the system couldn't surface it.

The ramp tax. A new product manager joins the company and spends her first nine months piecing together institutional knowledge from Confluence pages nobody maintains, Slack threads nobody bookmarked, and colleagues who each hold one fragment of the picture. By the time she's fully ramped, a quarter of what she learned is already outdated.

The re-debate tax. A pricing exception gets approved in Q1. The same question comes up in Q3, but nobody can find the original decision. The team re-debates it from scratch, arrives at a slightly different answer, and creates a precedent conflict that surfaces during the next audit.

The escalation tax. A customer issue bounces between support, engineering, and product. Each team sees their fragment. Nobody sees the full chain. Resolution takes a week when it should have taken an hour.

Every one of these is a closed loop that's running open.

How Computer makes it queryable

Computer Memory is the knowledge graph at the center of Computer, by DevRev. It connects to every system your company runs on through AirSync, a patented, real-time, bidirectional sync engine.

Here's what that means concretely:

One graph, every system. Computer Memory connects to Salesforce, Jira, Zendesk, Slack, Google Workspace, GitHub, Confluence, HubSpot, Intercom, and 50+ other systems. Not through batch ETL. Through continuous, bidirectional synchronization. When a decision happens in any connected system, the context flows into the graph in real time. And when Computer acts on that context, the outcome writes back.

Entities, not documents. Computer Memory doesn't index files. It maps relationships between customers, products, teams, tickets, deals, code changes, meeting notes, approval chains, and every interaction between them. A support ticket isn't a document to be searched. It's a node connected to the customer, the product feature, the engineering issue it triggered, and the resolution that fixed it. That chain of relationships is what makes answers accurate instead of approximate.

Decision traces, not current state. CRMs store where things are now. Computer Memory stores how they got there: who decided, what the precedent was, what changed, and what came of it. When someone asks "how have we structured deals like this before?", the graph doesn't return a list of similar records. It returns the reasoning.

Permissions at every node. Computer Memory inherits the permission model of every connected source system automatically through AirSync. Salesforce record-level access, Jira project roles, Slack channel membership, Google Workspace sharing settings, all enforced at every node during query traversal. Every person sees exactly what they're authorized to see. SOC 2 compliant. GDPR ready. 14 patents behind the architecture.

What teams actually ask

The same architecture serves every function. Here's what queries look like in practice:

A tech lead asks: "What's the current marketing direction for our public web surfaces, and what's planned for Q3 and Q4?" Computer surfaces the positioning framework, the messaging hierarchy, the brand guideline updates, and the SEO keyword strategy, all connected and current. He starts building. PR is up by lunch.

A support agent asks: "Has this customer reported this symptom before, and how did we resolve it?" Computer returns the full chain: the previous ticket, the engineering investigation, the root cause, the code fix, and the customer communication. Resolution in minutes instead of hours.

A sales rep asks: "How have we structured deals for healthcare customers with milestone-based payments?" Computer returns the two precedents, the approval chains, the clause language, and what changed between the first and second deal. The quote goes out the same day.

A product manager asks: "What are the top five feature requests from accounts with ARR over $500K?" Computer synthesizes support tickets, sales call notes, NPS feedback, and renewal conversations into a prioritized list, with evidence trails.

An engineering manager asks: "What shipped in the last sprint and how well did it map to customer needs?" Computer connects the shipped PRs to the customer feedback that motivated them. The retrospective has real data instead of recall bias.

Each query closes a loop. Each answer gets better over time because every interaction adds context to the graph.

The compounding effect

Here's the property that separates a queryable company from an enterprise search tool: Computer Memory compounds.

Enterprise search indexes documents and returns more documents over time. Computer Memory builds relationships and returns better answers over time.

Every resolved ticket adds a precedent. Every closed deal adds a pattern. Every approval adds a decision trace. Every cross-system interaction adds an edge in the graph. Six months in, a query about healthcare deal precedents might return two results. Eighteen months in, it returns twelve, with richer context, more cross-references, and structural patterns that didn't exist in any single source system.

This is the network effect of organizational context. The longer your company runs on Computer, the more valuable the graph becomes, and the harder it is for any competitor to replicate, because they'd need to replay years of decisions to match what you've already captured.

A queryable company isn't just faster today. It's compounding an asset that makes it faster every day.

The operating system for the AI-native company

Diana Hu's thesis is that AI should be the operating system your company runs on, not a tool it uses. Computer Memory is the infrastructure that makes that possible: a single, governed, permission-aware knowledge graph that unifies every system, preserves every relationship, and makes the entire organization queryable.

Your company already has the answers. Computer lets anyone ask.

Computer, by DevRev, turns your entire organization into a queryable, intelligent closed loop. Computer Memory, our patented knowledge graph with 14 patents, connects to 50+ systems through AirSync's real-time bidirectional sync. The result: every team member can query the company's full context, with permissions intact, and get answers in seconds.

Make your company queryable →