Kognita.
Managed Agent Runtime
Ask plain-language questions about your codebase and get answers grounded in the actual code, data, and business rules — not generic AI. Engineering sets Kognita up once. Everyone else just opens a browser.
Kognita Assistant
Talk to your system
what changes
The goal is not to make everyone technical. The goal is to make the system explainable first, then make the KPI needles visible: faster answers, fewer handoffs, cleaner escalations, and better release decisions.
Ask what a workflow does, which teams it touches, what data it depends on, and what happens when it succeeds or fails.
KPI needle
Faster path from question to verified answer
Support and operations can check whether an issue is caused by configuration, a rule, a data condition, or a real defect before escalating.
KPI needle
Fewer engineering round-trips
Connect read-only databases and ask questions about analytical queries, production feature adoption, customer activity, and live operational data without writing SQL.
KPI needle
Shorter time to operational insight
Product and leadership can see the workflows, records, notifications, reports, and customer moments that may be affected before work starts.
KPI needle
More risks caught before build starts
New team members learn how the product actually behaves across services, data, and operations instead of waiting for repeated engineering walkthroughs.
KPI needle
Less ramp-up time
Each project runs a dedicated Claude agent with its own isolated compute. Your questions are answered from your codebase alone, not mixed with other organizations.
KPI needle
More trustworthy answers from approved context
database connected
When Kognita is connected to one or more databases, non-technical teams can ask analytical questions in plain language and get answers grounded in live system data. That means product, support, operations, and leadership can check numbers, inspect adoption, and debug production behavior without writing SQL.
Check analytical queries
Ask where a number comes from, which records feed it, and whether the query matches how the product actually stores the data.
Monitor feature adoption
Ask whether a shipped feature is being used in production, which customers touched it, and what usage looks like after release.
Debug production issues
Combine codebase context with current records to see whether a problem is data state, configuration, workflow timing, or a code defect.
Stay within safe access
Use scoped, read-only database credentials for each connection so teams can investigate approved tables without exposing broader production permissions.
managed agent runtime
Kognita is a managed agent runtime connected to your codebase. It works the same way Claude Code or Cursor works for developers — except there is no terminal to open, no repository to clone, and no API key to configure. Your team asks questions in a browser. The answers come from the actual indexed code.
Step 1 — engineering
An engineer authorizes the Git provider and selects the repositories to index. This happens once. No ongoing maintenance required.
Step 2 — Kognita
Kognita builds a semantic index and spins up a dedicated Claude agent for your project — isolated compute, your codebase only. No infrastructure to run. No pipeline to maintain.
Step 3 — the whole team
Product, support, QA, operations, and leadership open the Kognita dashboard and ask plain-language questions. No install. No clone. No API key. Just answers from the actual code.
How Kognita differs
Tools like Cursor and Claude Code require every user to install software, clone the repository, and manage their own API key — which is why non-technical teams never get access. Kognita is managed centrally and gives each project a dedicated, isolated agent.
Cursor, Claude Code
per-developer
Install required per user
Non-technical teams excluded
Shared AI endpoints
shared model
One model for all customers
No isolation between tenants
Kognita
managed runtime
Dedicated agent per project
Your context, your compute, whole team
built for complex systems
In growing software companies, senior context spreads across people and systems, teams rotate, complexity compounds, and no single person can see every service, table, rule, and user-facing effect. Kognita turns that hidden structure into a shared system map.
Real scale
Many moving parts
Modern software spans products, users, permissions, data, automations, internal tools, integrations, and business rules.
Real workflows
Action -> records -> impact
Customer and business actions are not isolated screens. They move through services, records, notifications, reports, and downstream teams.
Real pressure
Recurring questions
Many questions are about behavior, configuration, release risk, or unclear expectations, not necessarily broken code.
managed agent runtime
Kognita is a managed agent runtime connected to your codebase. Engineers set it up once. Every team member — technical and non-technical — gets system-grounded answers from the same shared index, without any local setup, cloned repository, or personal API key.
Code paths and business rules
Database tables and relationships
Read-only database queries
Production logs and trace IDs
Tickets, releases, and operational context
question 01
Is this customer issue a bug, configuration problem, or expected behavior?
question 02
What systems are touched when this workflow runs?
question 03
What could break if we change this business rule?
question 04
Where does this report number come from?
question 05
Is the new feature actually being used in production?
team faq
Kognita gives product, support, operations, QA, and leadership a practical bridge into code, data, workflows, and release risk without making them become developers.
Kognita gives product, support, QA, operations, and leadership a browser-based way to ask plain-language questions about the system. Answers are grounded in indexed code, connected data, Jira context, and approved operational sources, so teams can understand behavior without opening a repository.
Product teams can check existing behavior, edge cases, dependencies, acceptance criteria, release risk, and customer impact before writing or approving tickets. Kognita helps them scope work from system reality instead of guesses, stale documentation, or repeated engineering walkthroughs.
Support teams can ask whether a customer issue is expected behavior, a configuration problem, a data-state issue, or a likely code defect. Kognita helps produce better escalations by identifying the owning workflow, relevant records, likely cause, and evidence engineering can inspect.
Yes. Leaders can ask questions about implementation status, impacted workflows, operational behavior, customer impact, system ownership, and release risk. Kognita connects management to the systems the business depends on without turning every question into a custom engineering investigation.
When approved read-only database connections are configured, Kognita can help teams ask plain-language analytics and operational questions. It can explain where numbers come from, which records support an answer, and how the data connects to product behavior without requiring the user to write SQL.
Kognita is designed around scoped access. Engineering controls which repositories, databases, and tools are connected, and database access should use read-only credentials. Non-technical teams get useful system answers without receiving broad production permissions or local developer setup.
No. Kognita reduces avoidable interruptions and makes conversations with engineering better. Product, support, operations, and leadership can arrive with clearer questions, evidence, affected workflows, and known context instead of asking engineers to reconstruct the basics every time.
for your team
Product, support, operations, and leadership get grounded, plain-language answers with no terminal and no setup. Engineering connects the repo once — everyone else just opens a browser.