Pi Sights · π·S

Insights analytics for technology teams.

Pi Sights is the enterprise-grade analytics platform built specifically for technology organizations. Collate, analyze, forecast — across projects, programs, and the roles that own them. Fast to deploy, easy to scale, intuitive to learn.

0+
Pre-built metrics
0wk
Avg deployment
0%
Status overhead cut
0 sprints
Earlier risk signal
What it does

Three pillars,
one platform.

01

Powerful Insights

Pre-built KPIs and anomaly detection across delivery, quality, productivity, and customer satisfaction.

02

Prediction Modelling

Forecast project outcomes, predict slippage, and surface controllable factors before they bite.

03

Metrics & Data Management

100+ predefined metrics, an in-built data cleaner, and target setting — without the integration drudgery.

Capabilities

Built for the decisions
tech leaders actually make.

01

100+ predefined metrics

Out of the box. Set targets, baseline performance, ship dashboards in days not months.

02

Built-in data cleaner

Validate incoming data automatically. Bad data never enters the model.

03

Prediction models

Project objective forecasting with controllable-factor analysis.

04

Visual analytics

Interactive, drill-down dashboards designed for the roles that actually decide.

05

Role-based views

Executive, program, project, and team — the right cut for the right altitude.

06

Anomaly detection

Surface what shouldn't be happening before it shows up in a status meeting.

07

Integration-ready

Jira, Azure DevOps, GitHub, ServiceNow, custom data sources via API.

08

Enterprise-grade

SSO, role-based access, audit trails, deployable on-prem or cloud.

In the field

What Pi Sights
ships in practice.

CASE 01

Captive analytics center, top-10 global bank

Context

Status reporting across 200+ projects was eating PM time and producing stale insights. Leadership wanted forward-looking signal, not rear-view mirrors.

Outcome

Pi Sights reduced status synthesis effort by 60% and surfaced at-risk programs 3 sprints earlier on average.

CASE 02

IT services firm, capacity management

Context

Demand and supply were perpetually mismatched. The firm needed a way to forecast capacity needs and tie them to revenue outcomes.

Outcome

A predictive capacity model that turned theoretical concepts into implementable artifacts — and gave the Director of Delivery a single source of truth.

Let's build

Want Pi Sights
in your delivery org?

30-minute discovery call. We'll map your metric stack and tell you what a 6-week deployment would look like.