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ANVEEKSHA · PRIVATE PREVIEW

See what is changing across your delivery tools — with the evidence behind it.

Anveeksha connects the tools your teams already work in (project tracking, documentation, code, team chat: Jira, Confluence, GitHub, Slack, etc.) into one stream of activity, and works out who did what across all of them. It then spots what has shifted against each project's own normal: work that has gone quiet, sudden surges, plans that have drifted, cost and schedule slipping, and people or knowledge a project quietly depends on too heavily. Each change is explained in plain language, and every sentence points back to the evidence behind it. The AI writes the explanation; it never decides how serious something is. We run Anveeksha on Anveeksha, and it already shows us things about our own delivery that we had not seen.

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How it works.

Deterministic detection

Shifts are detected against each project's own baseline. Thresholds, severity and state are computed, not generated.

Cited narration

Each finding is explained in plain language, with the evidence it was computed from one click away.

Replay any moment as it was lived

Step back through history as it happened, across every connected tool.

Connectors.

  • Jira
  • Confluence
  • GitHub
  • Slack

Coming soon: PSA and finance connectors for MSPs.

Questions, answered.

How does Anveeksha (the product) differ from Jira dashboards or LinearB/Jellyfish-style analytics?
Dashboards show counts inside one tool. Anveeksha connects the tools your teams already work in (today Jira, Confluence, GitHub and Slack) into one stream of activity, works out who did what across all of them, and compares each project against its own normal: work that finished without the plan knowing, teammates who have gone quiet or are running far above their usual pace, and plans, cost and schedule that are drifting. Each finding is explained in plain language, and the evidence it was computed from is one click away.
Does the language model decide what counts as a problem?
No. Detection is deterministic: thresholds, severity and state are computed, not generated. The language model writes the explanation; it never sets the severity. The evidence each finding was computed from is one click away.
Which tools does Anveeksha connect to today?
Today Jira, Confluence, GitHub and Slack, with more connectors coming. PSA and finance connectors for MSPs are planned.
How do I get access?
Anveeksha is in private preview. Join with your work email and we will be in touch as places open.

The same doctrine runs through our client work — see Applied AI and what the product found when we ran it on ourselves.

Private preview

Join the private preview.

Leave your work email and we will be in touch as places open.