Deterministic detection
Shifts are detected against each project's own baseline. Thresholds, severity and state are computed, not generated.
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.
Join the private previewShifts are detected against each project's own baseline. Thresholds, severity and state are computed, not generated.
Each finding is explained in plain language, with the evidence it was computed from one click away.
Step back through history as it happened, across every connected tool.
Coming soon: PSA and finance connectors for MSPs.
The same doctrine runs through our client work — see Applied AI and what the product found when we ran it on ourselves.
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