Learns your systems. Stays in your control.

Your code, infra, and data — in one brain.

Vedin investigates incident investigations, engineering operations, data questions, and pull request reviews — learning your stack while every risky action stays under your approval.

Limited monthly Power, free forever. No credit card.

Code

PRs · diffs

Infra

K8s · alerts

Data

queries · schemas

Product

One workspace for every engineering question

Ask about incidents, query production data, save knowledge, and automate checks from the same place.

Ask Vedin

Ask in plain English. Get the answer in the right format.

Questions come back as charts, tables, summaries, or investigation-ready context your team can inspect and share.

Vedin

Ask Vedin answering a question with an incidents by day chart

Knowledge

Keep the context it creates.

Generated docs, schemas, runbooks, and notes stay organized so the next answer starts with memory.

Vedin

Vedin knowledge library with generated database and repository documents

Knowledge Graph

See how your systems connect.

The knowledge graph turns repos, integrations, investigations, observations, and tools into a map your team can explore.

Vedin

Vedin knowledge graph visualizing repositories, integrations, investigations, observations, and tools

Automation

Turn a sentence into a recurring check.

The agent asks for the missing details, then runs the check on schedule without another workflow builder.

Vedin

New scheduled task dialog where Vedin asks follow-up questions

Infrastructure

Interrogate production without chasing dashboards.

Follow-up questions stay in the same thread, so the agent carries context from pods to memory to versions.

Vedin

Ask Vedin answering Kubernetes production questions about pods, memory, and image versions

Data

Turn product data into something you can act on.

Plain-English analytics questions come back as structured tables, summaries, and investigation records.

Vedin

Vedin returning a feature engagement table from product analytics data

Four jobs, one teammate

What it actually does

Vedin moves across all four, learning from each run while keeping risky actions approval-gated.

Code Review

Reviews every pull request. Inline comments on changed lines, secret detection, suggested fixes. Replaces tools like CodeRabbit.

Incident Response

Investigates alerts while you sleep. Pulls from logs, metrics, deploy history, and runbooks. Asks before touching production.

Data Analytics

Plain-English to SQL across your databases. Schema exploration, multi-database joins, no separate analyst tool.

Engineering Ops

Searches Jira and Confluence, drafts deploy and sprint summaries, generates runbooks from past incidents.

What an investigation actually looks like

A walkthrough of one incident. The agent investigates, calls the right tools, and asks before it touches production.

Vedin · investigating incident #847

payment-api · prod

Live

02:04 · PagerDuty

payment-api error rate at 12% over last 5 min. P1.

Investigating

Checking recent deploys, error logs, and DB pool metrics.

kubectl logs -n prod payment-api --since=10m | grep -i pool

→ ConnectionPool exhausted after 3 retries (47 occurrences)

Root cause found

Deploy v1.42 (08:30 UTC) added sync workers without resizing the pool. Same shape as incident #312 from May.

Approval required

Roll back to v1.41 and re-open issue #312 for the pool-size fix?

Approve Reject

This is a real flow shape. Vedin investigates autonomously, but every destructive action waits for a human.

Setup

Three steps, then it runs.

  1. 01

    Connect your stack

    GitHub, your databases, Kubernetes clusters, Jira. Each integration extends what Vedin can inspect and explain.

  2. 02

    Write your rules

    Drop a markdown rules file into your workspace. Vedin reads it before every action — escalation paths, no-touch tables, style guides.

  3. 03

    It learns from every run

    Every PR review, incident, and query feeds the same knowledge graph. Recurring patterns — same flaky table, same deploy hazard — get faster, more grounded answers over time.

Integrations

Connects to your entire stack

Vedin plugs into the tools your team already uses — cloud or on-prem, with a lightweight agent for your private network.

Many more integrations are coming soon. Unmarked colored integrations are available today; * marks coming soon or planned integrations.

Code

GitHub
GitLab
* Bitbucket

Projects

Atlassian

Communication

Google Chat
* Slack

Data

PostgreSQL
PostHog
Google Play
App Store

Infrastructure

Kubernetes
ArgoCD
Google Cloud
* AWS

Observability

* Sentry
* Elasticsearch
* PagerDuty
* Grafana
* Prometheus
* Datadog

Network ops

Network Discovery
* Exposure Review

Cloud or on-prem

SaaS tools connect directly. Internal tools route through a lightweight agent in your network — no VPN or firewall changes.

Per-environment routing

Scope each connection to dev, staging, or production. Investigations automatically use the right credentials for the right environment.

Approval-gated

Read access is broad. Anything destructive — rolling back, mutating data, paging humans — waits for explicit approval.

Trust

Built for production.

Asks before touching prod

Anything destructive routes through human approval, configurable per environment.

Full audit trail

Every tool call, every decision, every output is logged and traceable.

Run inside your VPC

A lightweight infrastructure agent connects out from your network. Zero inbound, your secrets stay yours.

Why we built it

We built Vedin to be there when you're not — and to be there so you don't have to be.

Drop your work email for a magic link (Free plan, no credit card). Product demos and onboarding assistance are included. Need an enterprise setup right away? Talk to us.

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