Quick query
A focused question over known code, docs, or operational context.
Usually light, but still varies by model and answer size.
Launch pricing
Buy Power for your AI operations teammate.
Plans include monthly Power for incident investigations, engineering operations, knowledge Q&A, scheduled checks, document work, repo learning, and PR reviews.
These are early-adopter launch offers and may change after real usage data matures.
What you pay
Fixed monthly plans
Each plan includes a monthly Power pool for the AI work Vedin performs for your team.
How Power works
Mapped to real AI work
Light tasks use less. Deep investigations, document work, and repo learning use more.
Launch pricing
Early-adopter terms
These are launch offers; existing customers keep their purchased terms for the committed billing period.
How Power is measured
Power tracks the AI work behind each outcome.
A quick query, a deep incident investigation, a knowledge document, and repo learning do not use the same amount of AI work. Power reflects the context processed, the model selected, the response generated, tool activity, and indexing work.
We keep the billing experience simple: plans include monthly Power, larger jobs are estimated before they run, and our model choices keep balancing quality and cost as AI becomes cheaper and more capable.
Deep investigation
Multi-step reasoning across logs, tools, code paths, incidents, and follow-up checks.
Uses more Power because the agent reads, compares, and verifies more evidence.
Knowledge documents
Generating or refreshing durable docs, runbooks, repo notes, or architecture summaries.
Depends on source size, generated detail, and whether the job includes indexing.
Repo learning
Scanning files, building searchable context, extracting structure, and preparing repo knowledge.
Depends on repo size, depth, and how much structure the agent needs to extract.
The honest answers
What uses Power?
AI work performed by Vedin: incident investigations, engineering operations, data questions, scheduled checks, repo learning, knowledge documents, indexing, PR reviews, and quick questions. Usage depends on context size, model choice, output length, tools, and indexing work.
Do you charge per token?
No. Plans include monthly Power. We use usage data internally to keep estimates, limits, and plan sizing fair, but customers do not manage token billing.
Why can two jobs use different Power?
Different jobs need different amounts of context and different models. A quick answer may be small; a deep investigation, knowledge document, or repo learning job may read and generate much more. We tune model choice to balance quality and cost.
What happens if we use a lot?
Paid workspaces get Power warnings before they hit plan limits. Large jobs show an estimate before running. Teams with sustained high usage can upgrade or move to Enterprise pooled Power.
Is the Free plan a trial?
No. Free has limited monthly Power and no card required. It is meant for real evaluation, not just a 14-day window.
Lean vs Team — what is the difference?
All paid plans are workspace plans. Lean is sized for smaller workspaces with lighter weekly use; Team includes a larger shared Power pool and higher workspace limits.
Can we self-host or run inside our VPC?
Enterprise can deploy a lightweight infrastructure agent inside your network with no inbound connection requirement. We will scope the deployment model with you before quoting it.
India pricing?
We accept INR for Indian customers at checkout. The plan structure is identical; prices are localized rather than live FX-converted.
Start free.
Use real repos, real incidents, and real questions before deciding whether a paid plan is worth it. If you want to evaluate first, ask us to provision a playground for your team.