RRightSense
Enterprise AI for manufacturing and project businesses

Enterprise AI. Measurable Business Outcomes.

RightSense helps manufacturing, EPC, valve and pump businesses connect operational evidence to the decisions that protect revenue, margin, delivery and cash.

Start with one economically important problem. PulseIQ provides the initial evidence-to-outcome layer; our founders lead the diagnostic, proof and decision to scale.

Read-only first Human decision authority Value verified before scale

Where we start

Different industrial models. Different value levers.

The first question is not where to add AI. It is which operating decision is economically important, measurable and narrow enough to prove.

Industrial manufacturing

Production, quality, maintenance and commercial data rarely explain the same outcome.

Connect the evidence behind yield, rework, downtime, delivery and working-capital decisions.

EPC companies

Engineering releases, vendor milestones, change orders and billing drift across project systems.

See schedule, margin and cash exposure early enough for project leaders to intervene.

Valve manufacturers

Engineer-to-order bids depend on specifications, drawings, costing, approvals and certificates.

Reduce quote friction while preserving technical compliance, approval control and bid margin.

Pump manufacturers

Configuration, dealer demand, service history and spares live in separate commercial systems.

Improve configuration decisions, aftermarket visibility and service-led margin without another dashboard.

Initial entry offering

Start with PulseIQ and one measurable management problem.

PulseIQ connects the minimum approved evidence needed to show what is at risk, why it is happening, what action remains possible and how the resulting outcome will be measured.

  • One plant, project, product family or order cohort
  • Read-only evidence before any integration commitment
  • Human approval for commercial and operational decisions
  • Modeled value kept separate from verified value
Explore PulseIQ

RightSense flagship

The 48-Hour Outcome Diagnostic, powered by PulseIQ.

A tightly scoped working session for one plant, project, product family or order cohort. The 48-hour clock starts after the agreed inputs are available.

  • 1One-page problem, scope and decision definition
  • 2Evidence map with source owners, freshness and gaps
  • 3Baseline KPI dictionary and illustrative value model
  • 4Ranked intervention options and a practical 30-day proof plan
The 48-hour arc
  1. 01

    Confirm the boundary

    Before hour 0

    Agree one management problem, one accountable sponsor, the decision in scope, the baseline period and no more than three initial evidence sources.

  2. 02

    Map evidence and baseline

    Hour 0–12

    Review read-only exports or approved documents, reconcile definitions and document missing or stale evidence. No production integration is required for the diagnostic.

  3. 03

    Trace the decision and exposure

    Hour 12–28

    Show where the decision currently stalls, who owns it, which customer or financial outcome it can affect and which assumptions remain unverified.

  4. 04

    Design the smallest proof

    Hour 28–40

    Define the Human + AI workflow, decision controls, KPI baseline, illustrative value range and the minimum PulseIQ evidence path needed to test it.

  5. 05

    Founder-led decision readout

    Hour 40–48

    Review the findings, risks and 30-day proof plan. Decide together to proceed, gather better evidence or stop—without a platform commitment.

How it works

Diagnose → Redesign → Build → Operate → Verify

One process, a named owner and an agreed measure of value. People, process and technology move together.

  1. 01

    Diagnose

    Trace the current work, quantify the constraint and agree the baseline, data scope and business owner.

  2. 02

    Redesign

    Define the Human + AI workflow, decision rights, exception paths and changes to roles and daily routines.

  3. 03

    Build

    Connect approved evidence, build the smallest useful workflow and test quality, controls and failure handling.

  4. 04

    Operate

    Coach users, run the workflow in the operating rhythm and track adoption, overrides and support needs.

  5. 05

    Verify

    Compare outcomes with the agreed baseline. Finance validates attributable value and the team decides whether to scale.

Why RightSense

Designed for a small, measurable first move.

The initial offer is intentionally narrow: one management problem, the minimum governed evidence and an explicit decision on whether to continue.

Outcomes, not dashboards

Each scope names the revenue, margin, delivery, cash, productivity or risk KPI before the proof begins.

Industrial context

The value model reflects engineered products, project milestones, supplier dependencies and customer commitments—not generic automation volume.

Human decision authority

AI can assemble evidence and prepare options; authorized people retain control of technical, commercial and operational decisions.

Proof-first, right-sized entry

Start with the smallest diagnostic, discovery or platform proof capable of validating measurable value for the priority at hand.

Founder-led initial cohort

RightSense is focusing on five manufacturing clients so senior ownership stays close to discovery, adoption and value verification.

Bring one economically important problem.

We will confirm the scope, required evidence and measurable KPIs before either side commits to a larger program.