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Decision AI for Enterprise

Decision Infrastructure grounded in causality, context, and memory, so every decision gets faster, sharper, and smarter than the last.

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Enterprise Reasoning
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DecisionX ontology base view of SKU performance
Causal State Graphevery entity, linked live
DecisionX ontology linked entity view
Conflicts Raised3 critical metric conflicts found
DecisionX ontology cross-category cascade view
Resolve Raised Data Conflictsin one go
DecisionX scheduled query and signal detail report
Scheduled Query Trackingand response, on autopilot
DecisionX top bottleneck stations chart
Bottlenecks rankedby takt gap, worst to best
DecisionX bottleneck signal summary and recommendation
Root cause surfaced36 of 70 stations affected
DecisionX working capital release dashboard
INR 3.5M releasable5.1% of inventory · zero service risk
DecisionX supporting chart
Largest single leverINR 1.3M · aged stock
Net outcome5.1% released · service intact
DecisionX supporting chart
Single biggest capital lockINR 595K · one DC
DecisionX MEIO board with pinned charts
Live Boardspin any chart straight from chat
DecisionX board insights summary
AI-surfaced insightsgenerated as the board updates
DecisionX report generated from reasoning
Convert Reasoning into Slidesone click from any report
DecisionX slide customization in chat
Chat and Customize the Slidestone, length, and style

Powering 30,000+ Decisions

Trusted by Strategy & AI Teams

Real World Decisions with Consequence

Months of deliberation.
Minutes to decide.

Move spend, inventory, and teams toward growth. For commercial teams that need to explain gaps, reallocate capital, and act before the quarter is gone, across CPG and Pharma.

Demand Planning icon

Demand
Planning

Signal

3 SKU-region pairs show sell-in/sell-out diverging 8%+; 187 lines below confidence threshold

Decision

Reconcile ₹340 Cr into one trusted number, then commit the order at 94% confidence.

Watch₹340 Cr
Portfolio Rationalization icon

Portfolio
Rationalization

Signal

Region 3 decline traced to distribution, not demand

Decision

Cut the 12 SKUs running margin-negative for 3 consecutive quarters.

Reduce12 SKUs
Pricing Optimization icon

Pricing
Optimization

Signal

8 SKUs in Modern Trade cross the elasticity threshold

Decision

Reprice those 8 SKUs as elasticity crosses the margin floor.

Scale8 SKUs
Assortment Optimization icon

Assortment
Optimization

Signal

Shelf capacity is the binding constraint in 2 depots

Decision

Hold current assortment in 2 depots rather than force a change shelf space can't support.

Watch2 depots
Trade Promotion icon

Trade
Promotion

Signal

Elasticity now favors a 60:40 Modern Trade / CSD mix

Decision

Reallocate ₹8 Cr to South & East for 2.3x incremental margin.

Scale2.3x margin
Field Force icon

Field
Force

PHARMA
Signal

40 HCPs show flat engagement this cycle

Decision

Prioritise 3 HCPs today at 3.2x uplift over list average.

Scale3.2x uplift
Media Mix icon

Media
Mix

Signal

Competitor spend drops ahead of Q4

Decision

Move ₹16 Cr from TV to digital for 1.8x ROAS uplift.

Scale1.8x ROAS

Prevent quality, yield, and downtime losses before they surface. For operations and quality teams that need to trace risk across inputs, process, equipment, and outcomes.

Production Scheduling icon

Production
Scheduling

Signal

6-hour changeover on next week's run threatens ship date

Decision

Resequence the run to absorb the changeover without missing the ship date.

Watch6 hrs
Line Balancing icon

Line
Balancing

Signal

Station 4 is the recurring constraint across the last 3 shifts

Decision

Rebalance 2 stations on Line 3 before the shift-end bottleneck repeats.

Scale2 stations
Quality Control icon

Quality
Control

Signal

Line 3 deviation crosses the quality floor

Decision

Halt Batch 512 in-process and escalate for regulatory notification.

WatchRegulatory
Predictive Maintenance icon

Predictive
Maintenance

Signal

Line 1 bearing wear pattern signals failure risk 48 hrs out

Decision

Schedule preventive maintenance on Line 1 before the next unplanned stop.

Scale48 hrs early
Yield Optimization icon

Yield
Optimization

Signal

Process parameter P4 traced to input variance

Decision

Change process parameter P4 and flag Supplier 2's CoA drifting from baseline.

ReduceParam P4
Make vs. Buy icon

Make vs.
Buy

Signal

Supplier 4's landed cost rises for a third cycle of elevated risk

Decision

Hold in-house production as the buy option's landed cost is now higher.

Watch3rd cycle

Find the signal, choose the bet, and move faster. For scientific, medical, and innovation teams where each decision carries regulatory, portfolio, or time-to-market risk.

Discovery icon

Discovery

Signal

Candidate C's ADMET risk outweighs its potency gain

Decision

Rank 3 lead candidates against portfolio budget before advancing one to preclinical.

Scale3 leads
Preclinical icon

Preclinical

Signal

Compound Z's tox read shows an unresolved finding (Finding 4)

Decision

Clear Compound Y's IND-enabling tox go/no-go ahead of the filing window.

WatchGo/no-go
Clinical Trials icon

Clinical
Trials

Signal

Lock the 6-week visit schedule. 8 weeks lifts dropout 34%

Decision

Open sites in Germany & Poland, enrolling 23% faster.

Scale23% faster
Regulatory Filing icon

Regulatory
Filing

Signal

Module 3 carries the dossier's highest amendment risk

Decision

Sequence the EU filing ahead of the US as EMA review risk is lower this cycle.

WatchEU first
Pharmacovigilance icon

Pharmacovigilance

Signal

Drug X safety signal crosses the WHO-UMC threshold

Decision

Escalate ICSR Case 4471 with the 15-day deadline at risk.

Watch15 days
Lifecycle Management icon

Lifecycle
Management

Signal

Programme Y's cost now exceeds expected value

Decision

Advance Compound X to Phase 3 with thresholds met; drop Programme Y.

ScalePhase 3

Every stage has a window. The shelf doesn't wait for the next one. For CPG innovation and brand teams making launch decisions against a fixed retail calendar, not a lab deadline.

Concept Screening icon

Concept
Screening

Signal

Concept F's margin potential falls below the portfolio floor

Decision

Fund 2 of 9 flavor concepts as the only pair clearing category-fit and margin thresholds.

Scale2 of 9
Demand Forecasting icon

Demand
Forecasting

Signal

North region is distribution-constrained ahead of launch

Decision

Commit launch volume at 40K units as shelf capacity caps upside in 2 regions.

Watch40K units
Formulation & Claims icon

Formulation &
Claims

Signal

The "natural" claim is pending one more lab verification cycle

Decision

Lock the reduced-sugar claim as the compliance review clears with no amendment.

ScaleClaim cleared
Launch Readiness icon

Launch
Readiness

Signal

Depot 3 sits 9 days behind the shelf-ready commitment

Decision

Confirm the March scale-up date as supply and shelf timing now align.

WatchMarch
Post-Launch Monitoring icon

Post-Launch
Monitoring

Signal

Elasticity held steady through the miss — price ruled out as a cause

Decision

Trace the flavor SKU's forecast miss to distribution, not demand, in 2 regions.

Watch2 regions
Post-Launch Iteration icon

Post-Launch
Iteration

Signal

Neither reformulate nor relaunch-as-is clears the margin floor alone

Decision

Reformulate over re-launch as-is; margin impact favours reformulation by 1.6x.

Scale1.6x margin
DecisionX Platform Section Preview

The Platform

The AI Decisioning Platform for all Scenarios.

DecisionX connects your data, domain knowledge, and decision history into a living causal model, then reasons through it to give you a decision, not just an answer.

Answer
Deep dive
Sources (237)
ShareExportSave
Conversation
Should we reallocate ₹50 Cr of trade investment? Where should we invest and why?
10:21 AM
DecisionX Agent
Analyzing enterprise context
Collecting signals
237 sources
Analyzing with 8 agents
Demand, Supply, Pricing, Finance, Risk, Channel, ROI
Causal reasoning
Building impact & trade-off models
Generating decision paths
Ranking and validating options
Analysis complete. Here is your decision.
Recommended Decision
Invest ₹8 Cr more in South & East regions
Projected to deliver highest incremental revenue with low risk and fastest time to impact.
Revenue Impact
+₹14.2 Cr
(+11.3%)
Margin Impact
+₹3.8 Cr
(+4.2%)
Risk Level
Low
vs. options
Time to Impact
Immediate
0–2 weeks
Why this recommendation
Demand momentum strongest in South & East
Competitor spends decreased in key markets
Inventory position healthy to support growth
ROI projected highest among all options
Aligned with annual growth and margin targets
Decision Paths (Trade-off Analysis)
Option A · Recommended92%
Invest in South & East
Revenue
+₹14.2 Cr
Margin
+₹3.8 Cr
Risk
Low
Time
Immediate
Option B78%
Invest in All Regions
Revenue
+₹8.1 Cr
Margin
+₹1.2 Cr
Risk
Medium
Time
2–4 wks
Option C64%
Maintain Current Split
Revenue
+₹4.3 Cr
Margin
+₹2.1 Cr
Risk
Low
Time
4–6 wks
Institutional judgment
that compounds.
Every decision made is captured with full reasoning, assumptions, and outcome. The system learns from every call, so the next decision is faster, better informed, and draws on everything that came before.
D1
Decision made & captured
Rationale, trade-offs, context, and confidence score stored in Decision Repository.
D+
Outcome tracked
Actual result measured against recommendation. Causal model updated with real-world feedback.
D2
Next decision informed by the last
New hires inherit institutional judgment. Same mistakes never repeated. Decisions accelerate.
∞
Compounding moat
The longer you use DecisionX, the sharper it gets. Competitors starting fresh can never catch up.
Decision Repository Outcome Tracking Institutional Memory Compounding Intelligence
Decision Agents.
Always on.
High-frequency decisions that can't wait for a weekly meeting. DecisionX agents monitor signals continuously, reason through your causal model, and act, or escalate, in real time.
Pharmacovigilance Agent
Monitors adverse event feeds, triages ICSRs, surfaces safety signals before regulators do.
Active · 24/7
Quality Deviation Agent
Traces raw material variance through production chain, flags QA risks before manufacturing.
Active · Real-time
Trade Spend Agent
Monitors channel performance, competitor signals, and ROI, reallocates spend automatically.
Active · Daily
Demand Signal Agent
Detects demand shifts early, surfaces reorder and reprioritisation decisions before stockouts.
Active · Real-time
All powered by the same engine

Every decision runs on four capabilities working together - from live signal to board-ready narrative.

01 Signals

Signals

Internal systems and external market data, fused into one continuously updating context.

Explore Signals
02 Causal Reasoning

Causal Reasoning

Root-cause analysis and forecasting grounded in cause and effect, not correlation.

Explore Reasoning
03 Boards

Boards

Every decision captured in one place, tracked over time, and compounding into institutional memory.

Explore Boards
04 AI Reports

AI Reports

Board-ready analysis and narratives generated on demand, sourced straight from live decisions.

Explore Reports
DecisionX Ontology Section Preview

The Architecture

The Core: Decision Ontology.
Self Learning & Causal.

DecisionX autonomously constructs a living Decision Ontology by connecting your Data, Domain, and Process ontologies into a single Causal State Graph.

Autonomously
01
Data Ontology

What exists, how it connects, and what it means

02
Process Ontology

How work flows and how outcomes are achieved

03
Domain Ontology

Industry rules, constraints, and business logic

Causal State Graph
Live · Self-learning
Data Ontology
Process Ontology
Domain Ontology
Output
Decision Ontology
Causal State Graph

A living model that continuously learns what decisions matter, what drives them, and why, across your entire enterprise.

Causal State Graph · live nodes
Trade Spend Demand Signal Competitor Activity Inventory Price Elasticity Seasonality Channel ROI
→Trade Spend causes Demand Uplift (+32%)
→Competitor Activity moderates Channel ROI
→Price Elasticity constrains Trade Spend ceiling
Zero hallucination Cross-functional Fully auditable Answers Why
Causal. Not Semantic.
Generic AI tools match patterns in text. DecisionX reasons through cause and effect, understanding why demand dropped, not just that it did. It traces the chain from raw material variance to batch failure, from competitor spend to channel erosion. Pattern matching gives you correlation. Causal reasoning gives you the answer.
Generic AI: semantic search & pattern match  •  DecisionX: causal reasoning
Self Learning. Always.
Every decision made sharpens the causal model. Every outcome tracked updates the ontology. DecisionX gets smarter with every decision your organisation makes, without manual retraining or knowledge management overhead. The system that learns is the system that compounds.

The Value

Value, on every line.

Impact that shows up on the P&L, in revenue, in cost, and in how the organisation itself is built to decide.

01Top Line

Not demos. Not projections. Revenue and growth outcomes running in CPG and Pharma enterprises today.

Pharma · R&D

Global Pharma Conglomerate

90%

faster AE triage

100%

of 15-day regulatory deadlines met

3×

more signals caught early

Millions of adverse event reports annually. Manual triage, missed signals, 15-day regulatory deadline pressure on every serious case.

Manufacturing · Quality

Leading Textile Manufacturer

60%

of quality defects prevented

48h

predictive alert window

100%

raw-material-to-defect traceability

Quality failures traced to raw material variance, caught too late, post-production. No causal chain from input to defect.

Pharma OTC · Commercial

Global Pharma OTC Business

35%

marketing efficiency gain

2×

sales rep productivity

3wk

faster campaign decisions

Marketing spend without channel-level ROI visibility. Campaign decisions on lag data. Sales teams unable to prioritise at scale.

02Bottom Line

One ontology, built once in hours, then every downstream gain compounds into cost savings and operating efficiency.

Without DecisionX

With DecisionX

The shift

6–8 months manual ontology build

6hrsOntology setup

Setup cost saved

From months to hours. Manual work done autonomously.

Hallucinating generic AI

ZeroHallucination

Risk cost avoided

Grounded in your context. Every inference anchored to your data, not generic world knowledge.

20-day analyst sprint

30sRCA & forecasting

Analyst time saved

Decision workflows, not projects. 20-day analyst sprints, now a 30-second workflow.

High analyst dependency

87%Strategy team savings

Headcount savings

Fewer bottlenecks, faster board prep. Analyst dependency and coordination overhead, eliminated.

03Strategic

Value that doesn't show up as a single line item. It changes what kind of organisation you are.

Sovereignty

Your data. Your models. Your infrastructure.

Deploys inside your VPC or on-prem, nothing leaves your environment. Full ownership of the ontology, the models, and every inference built on top. No dependency on a vendor's roadmap for your core decision layer.

AI-Native Organisation

Agents embedded in how decisions get made, not bolted onto how they used to.

Triage, RCA, forecasting, and campaign planning run through an agent, not a dashboard someone has to check. New use cases stand up on the same ontology in hours, not a fresh integration project each time. The org's habit shifts from pulling a report to asking the system directly.

Decision Quality

Fewer decisions made on stale data or gut instinct.

Every recommendation traces back to a specific, inspectable chain of evidence. Analysts spend their time on edge cases, not producing the baseline case by hand. The same question gets the same grounded answer across teams, not six versions from six spreadsheets.

Industries

Built for industries where
decisions carry cost.

DecisionX is specific enough for regulated, operational, and commercial contexts where a plausible answer is not enough. Each area below runs its own full decision lifecycle in depth on its own page, this is the summary.

Pharma

High-cost decision types

AE escalation Signal detection Launch sequencing Quality risk

A trial signal, a batch disposition, and a launch call are the same decision chain, not three separate reviews. DecisionX connects R&D, Manufacturing, and Commercial into one traceable story.

How one decision moves through all three functions

01

Pharma R&D Excellence

Adjudicates the trial signal against protocol and prior evidence.

Trial 3 shows an unexpected interaction with a common comorbidity medication.

02

Manufacturing Excellence

Adjudicates batch disposition under audit-ready evidence.

The affected lot is flagged for expanded stability testing before release.

03

Commercial Excellence

Ranks the HCP call list before launch messaging goes out.

HCP outreach is held on the affected indication while the stability read is pending.

DecisionX difference
A regulator or auditor can trace one decision across all three functions, not three separate logs that don't agree.
Explore the Pharma lifecycle
Consumer Packaged Goods

High-cost decision types

Trade allocation SKU prioritization Demand gap RCA Pricing response

A demand signal, a changeover decision, and a launch call are the same decision chain, not three separate meetings. DecisionX connects NPD, Manufacturing, and Commercial for CPG and FMCG brands into one traceable story.

How one decision moves through all three functions

01

New Product Development

Diagnoses why a launched SKU is under- or over-performing forecast.

A flavor SKU misses its launch forecast in two regions.

02

Manufacturing Excellence

Attributes yield loss to the process step where it occurs.

The same SKU's changeover loss is flagged as the line's top waste driver.

03

Commercial Excellence

Allocates the trade budget by incremental return, not history.

Reformulation is funded from the trade budget the changeover fix freed up.

DecisionX difference
Reformulation, changeover cost, and demand sit in one view, not three spreadsheets that don't add up.
Explore the CPG lifecycle
Manufacturing

High-cost decision types

Commodity hedge Make vs. buy Capacity reallocation Delivery commitment

A supplier delay, a line-capacity call, and a customer delivery commitment are the same decision chain, not three separate escalations. DecisionX connects Supply Chain, Plant Operations, and Order Fulfillment into one traceable story, across any manufacturing vertical.

How one decision moves through all three functions

01

Supply Chain & Procurement

Extends, holds, or unwinds a hedge position against live commodity exposure.

A key raw-material supplier flags an 11-day delay while the same commodity trends 8% up on the exchange.

02

Manufacturing Excellence

Decides make vs. buy inside a booking window that closes fast.

The affected line reprioritizes its schedule and evaluates a make-vs-buy call before the delay hits the floor.

03

Order Fulfillment & Delivery

Protects or renegotiates a delivery commitment before the ship date is missed.

The customer delivery commitment is protected with alternate sourcing or a renegotiated date.

DecisionX difference
Supplier risk, plant capacity, and delivery commitments sit in one view, not three trackers that don't agree.
Explore the Manufacturing lifecycle

Enterprise Trust

Built for decisions you must defend.

Explainable

Every answer traces to source, logic, assumptions and the full reasoning chain.

Human-in-the-loop

Ontology Agents build the model. Your team reviews, edits and governs before it reasons.

Secure

SOC 2 Type II, GDPR, ISO 27001. Public and private cloud. RBAC, IAM, SSO.

Compounding

Every tracked decision sharpens the ontology. Institutional intelligence that grows with use.

Decision intelligence platform

Stop assembling the picture.
Start deciding from it.

See DecisionX on your data, your context, your decisions. First value in 15 days.

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