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AI-Powered Predictive Analytics Solutions for Enterprise Forecasting and Risk Intelligence

Forecast demand, score risk and spot emerging issues using the data you already capture. Our AI predictive analytics models explain every prediction, run inside your existing systems and stay fully yours, delivered by Triazine Software LLC.

  • Explainable predictions with visible drivers
  • Accuracy proven on your own history before go-live
  • 100% ownership of models, features and pipelines
Get a Free Data Readiness AssessmentSee Predictive Use Cases

Trusted by enterprises, global brands and public institutions

Indraprastha Gas
Godfrey Phillips India
Aavantika Gas
NTPC
Schindler
Toyota Boshoku
Domino's Pizza
Crompton
University of Cambridge
Indraprastha Gas
Godfrey Phillips India
Aavantika Gas
NTPC
Schindler
Toyota Boshoku
Domino's Pizza
Crompton
University of Cambridge

Proven Results

Predictive Analytics Built on Data at Enterprise Scale

12.9M+Sales transactions on one data platform
2M+Customer meter records analyzed
1,660+Distributors across 26 states in one data foundation
11+Years of enterprise delivery
Case Studies

Predictive Models Delivering Results in Production

The Tony Elumelu Foundation

FinanceLegacy Modernization

Legacy Platform Modernization

TEFConnect scaled past peak programme traffic with .NET microservices and AI document checks

Business Mandate

Re-architect a PHP monolith that struggled at peak programme-cycle traffic and automate document checks across a pan-African entrepreneurship platform.

What We Delivered

  • .NET microservices on Microsoft Azure with a Next.js frontend
  • AI document verification with OCR and duplicate detection
  • Multilingual AI chatbot in four languages

Business Outcomes

265K+ applications processed · 99.9% platform uptime · 90% fewer customer complaints

Built with

.NET, Docker, Kubernetes, Azure, Next.js, Power BI

Read the Case Study
TEFConnect platform screens

Sound Royalties

Music FinancingRoyalty FundingAdmin PortalWeb Platform

One Portal for Artists, Earnings & Funding

Sound Royalties runs partners, artists, earnings and funding requests from one admin portal

Business Mandate

Bring partner, artist, earnings and funding operations onto one platform, so administrators have full visibility and control.

What We Delivered

  • Centralized management of partners and artists with structured profiles
  • Quick access to earnings data and funding requests
  • Search, filtering and easy navigation across records
  • A clean admin interface built for faster operations

Business Outcomes

1 portal for partners, artists, earnings and funding · Searchable, structured records · Full admin visibility and control

Built with

Angular · .NET · MySQL

Read the Case Study
Sound Royalties platform screens

Godfrey Phillips India

FMCGDistributor ManagementNationwide NetworkIncentive Scorecards

Secondary Sales & Distributor Management Platform

From sell-in to sell-through: GPI sees what 1,660 distributors actually sell across 26 states

Business Mandate

Give Head Office real-time visibility into what distributors sell to the market, not only what ships to them, and track distributor performance against targets on one common scorecard.

What We Delivered

  • Distributor self-reporting of sales by channel and business unit
  • Automated reconciliation from distributors' own field-sales systems
  • Quarterly incentive scorecards with weighted, monthly, ranked targets
  • Daily rollups, archiving and role-based views from distributor to Head Office

Business Outcomes

1,660 distributors onboarded · 12.9M+ transactions processed · ~101% median quarterly target achievement · 26 states, 1,348 towns

Built with

Django · MySQL · Celery / Redis · SAML2 SSO · SFA integrations

Read the Case Study
Godfrey Phillips India secondary sales screens

Ticketkore

Event TicketingE-CommerceMobile + WebRFID & NFC

Event Ticketing from Discovery to Check-In

Ticketkore runs events, vendors, wallets and payments on one smart ticketing platform

Business Mandate

Give organizers and attendees one platform for discovering events, booking tickets, paying and checking in, from the web to the venue gate.

What We Delivered

  • Event discovery by category and location, with secure ticket booking
  • Digital ticket wallets and QR-based check-ins
  • Event, vendor and wallet management for organizers
  • Smart POS payments with contactless RFID and NFC wristbands

Business Outcomes

3 connected channels: web, mobile and on-site Smart POS · Contactless, cashless transactions at events · Better engagement and streamlined event operations for organizers

Built with

React · Kotlin · Swift · PHP / CodeIgniter · MySQL

Read the Case Study
Ticketkore event ticketing screens

Housepital

Healthcare & Digital HealthHome HealthcareOn-Demand PlatformWeb + Mobile

Hospital-Grade Care, Delivered at Home

Housepital connects families with nurses, doctors, caregivers and medical equipment on one platform

Business Mandate

Give families one on-demand channel to book coordinated home care, from nursing and doctor consultations to caregivers and medical equipment.

What We Delivered

  • Home medical care booking for nursing, caregivers and physiotherapy
  • Doctor consultation at home and online
  • Medical equipment rental and sale, including ICU setup
  • Coordinated care across patients, providers and equipment

Business Outcomes

45,000+ families served · Care, doctors and equipment on one platform

Built with

React · PHP / CodeIgniter · MySQL · AWS

Read the Case Study
Housepital home healthcare screens

BECIL

Government & Public SectorCorporate WebsiteCMSBilingual

A Digital Front Door for a Government Enterprise

BECIL's website gives a Mini Ratna public sector enterprise a secure, bilingual home built to Government of India standards

Business Mandate

Give Broadcast Engineering Consultants India Limited a corporate website that reflects its stature, meets government guidelines and lets its team manage content without developer help.

What We Delivered

  • CMS-driven content for events, tenders, careers and public disclosures
  • English and Hindi versions of the site
  • DBIM-compliant design with a content security policy
  • Accessibility controls such as text resizing and skip-to-content

Business Outcomes

2 languages: English and Hindi · 100% DBIM-compliant build · Team-managed content with no developer dependency

Built with

Laravel · PHP · MySQL · Bootstrap

Read the Case Study
BECIL corporate website screens

Punjab Ghar Ghar Rozgar & Karobar Mission

Government & Public SectorEmployment PortalTrilingual

One Employment Portal for All of Punjab

PGRKAM's unified portal connects 2.28M+ job seekers with 21,000+ employers across 22 districts

Business Mandate

Merge a citizen portal and a separate CMS into one platform for job seekers, employers, training institutes and district officials, with verified identities, local-language access and government compliance built in.

What We Delivered

  • One portal replacing two systems, with resumes and location-based job search
  • DigiLocker verification for employers and job seekers
  • Trilingual AI chatbot and IVR in English, Hindi and Punjabi
  • National and state integrations with live analytics for all 22 bureaus

Business Outcomes

2.28M+ registered job seekers · 21,000+ verified employers · 22 districts on one system · 3 languages

Built with

PHP Laravel · WordPress CMS · MySQL · DigiLocker API · Google APIs · GIGW · VAPT · STQC

Read the Case Study
PGRKAM employment portal screens

0107

Our Services

Predictive Analytics Solutions for Every Critical Decision

From data readiness to models running in production, our predictive analytics services turn historical and live data into forecasts your teams can act on.

Predictive Analytics Consulting & Data Readiness

Predictive analytics consulting that reviews your decisions, data and quality, then delivers ranked use cases, data gaps and a clear roadmap.

Custom Predictive Analytics Software

Forecasting dashboards, what-if tools, alerts and scoring APIs with role-based access and audit trails.

Demand Forecasting & Planning

Forecasts for demand, stock and distribution by SKU, region and channel, so planning starts ahead of the market.

Customer, Churn & Revenue Prediction

Predict churn, repurchase, late payment, lifetime value and lead quality to focus sales and retention.

AI Operational Intelligence

Track incidents, compliance and performance to surface leading indicators before issues escalate.

Risk Scoring & Risk Area Identification

Map risk to sites, processes, teams or time windows for targeted, earlier action.

Predictive Maintenance

Anticipate equipment failures and plan maintenance before downtime hits production.

Anomaly & Fraud Detection

Flag unusual transactions, readings or behaviors that fixed rules miss.

ERP, CRM, SAP & EHS Integration

Predictions delivered inside the systems your teams already use, not in a separate tool.

Model Lifecycle Management (MLOps)

Accuracy, drift and error monitoring with scheduled retraining after go-live.

Find the right predictive analytics solution for your business

Tell us which decision costs the most when it comes late. We will show what your data can predict.

Book a Free Data Readiness Assessment
Operational Intelligence

Operational Intelligence Your Teams Can Trust and Act On

Predictive Models We Build

Classification — Will it happen? Example: Will this customer churn?

Regression — How much? Example: What will next month's sales be?

Time-Series Forecasting — What is the trend? Example: Demand by SKU and region

Clustering & Segmentation — Which groups behave alike? Example: Distributor or customer segments

Anomaly Detection — What looks wrong? Example: Unusual meter readings or invoices

Time-to-Event — When will it happen? Example: Time to equipment failure

Risk Scoring — How risky, and why? Example: Incident risk by site and shift

Explainable Predictions, Human-Owned Decisions

Explainable by default: Every prediction shows the factors that raised or lowered it, using methods such as SHAP values.

Proven on your history first: Backtesting on unseen periods, then shadow mode before go-live.

Confidence, not just a number: Forecasts come with ranges and confidence levels; low-confidence cases go to a person.

Bias and drift checks: Fairness testing where people are affected, and drift monitoring after launch.

Ways to Work With Us

Data Readiness Assessment — Ranked use cases, data-gap list and a pilot plan in 1–2 weeks

Fixed-Scope Pilot — One outcome, one model, backtested and run in shadow mode

Production Predictive Program — Multiple models on a shared pipeline, feature store and monitoring

Dedicated Data Science Team — Data scientists, ML engineers and data engineers on your team

Our Process

From Raw Data to Predictions in Production

Goal & Use-Case Mapping

Goal & Use-Case Mapping

Start with the decision.

Start with the decision.

  • Decisions, outcomes and owners defined
  • Use cases ranked by value and data readiness
  • Success metrics and accuracy targets agreed

Outcome: A prioritized use case with a pilot plan.

Talk to Our Experts
Data Access & Preparation

Data Access & Preparation

Build a trusted foundation.

Build a trusted foundation.

  • Secure connections to ERP, CRM, SAP, EHS and data warehouses
  • Data cleaning, quality checks and gap analysis
  • Privacy, masking and access controls applied

Outcome: Clean, permitted data ready for modeling.

Talk to Our Experts
Feature Engineering & Modeling

Feature Engineering & Modeling

Find the signals that matter.

Find the signals that matter.

  • Features built from business drivers
  • Model selection across ML and statistical methods
  • Explainability built into every model

Outcome: Candidate models ranked on accuracy and clarity.

Talk to Our Experts
Validation & Guardrails

Validation & Guardrails

Prove it before you trust it.

Prove it before you trust it.

  • Backtesting on held-out periods
  • Confidence thresholds and escalation rules
  • Bias and fairness checks where people are affected

Outcome: Measured accuracy against agreed targets.

Talk to Our Experts
Pilot & Rollout

Pilot & Rollout

Prove value on real decisions.

Prove value on real decisions.

  • Shadow-mode pilot, typically in 8–12 weeks
  • Predictions embedded in existing systems and dashboards
  • Phased rollout to more teams and use cases

Outcome: Live predictions driving earlier action.

Talk to Our Experts
Monitor & Retrain

Monitor & Retrain

Keep models accurate.

Keep models accurate.

  • Accuracy and drift monitoring
  • Scheduled retraining as data grows
  • Performance reporting to business owners

Outcome: Models that improve as your business changes.

Talk to Our Experts
Industries

Predictive Analytics Tailored to Your Industry

FMCG & Consumer Goods

Know More
Distributor PlatformsModern Trade PlatformsSKU Demand ForecastingStock-Out RiskScheme ROI
Governance

Data Quality, Security and Governance Built Into Every Model

Reliable predictions start with trusted data and clear controls. Every model is versioned, documented and approved before it reaches your teams.

  1. Automated Data Quality Checks

    Validation before every training and scoring cycle, so models never learn from broken data.

  2. Privacy & Data Minimization

    Masking, aggregation and regional data residency, using only the data each model needs.

  3. Role-Based Access & Audit Trails

    Controlled access to data, models and predictions, with every change logged.

  4. Model Governance

    Versioning, documentation and approval before release, with rollback ready.

  5. Fairness & Bias Testing

    Checks for unfair bias in models that affect people, reviewed before and after launch.

  6. Ownership & IP Protection

    NDA from the first call and full ownership of models, features and pipelines.

  • CMMI Level 3
  • GDPR
  • CCPA
  • HIPAA
  • PIPEDA
  • DPDP Act, 2023
  • SOC 2 Type II
  • CJIS
  • ISO/IEC 27001:2022
  • ISO/IEC 9001:2015
  • ISO 27018:2019
  • ISO 12207:2017
  • PCI DSS
  • PSD2
  • NIST Cybersecurity Framework
  • OWASP Mobile Security Testing Guide
Technology Stack

The Technology Behind Our AI-Powered Predictive Analytics

We choose the stack for each client and keep models portable across clouds.

scikit-learn

XGBoost

LightGBM

TensorFlow

PyTorch

Prophet

ARIMA

statsmodels

Azure Data Factory

Apache Airflow

Kafka

dbt

Databricks

Snowflake

Azure

Google Vertex AI

MLflow

Docker

REST APIs

Power BI

Grafana

Prometheus

SAP

ERP, CRM and EHS systems via APIs

Hire Talent

Hire Dedicated Data Science and ML Experts

Extend your team with vetted specialists who work in your tools, time zone and sprint rhythm.

Data Scientists

Build, validate and explain predictive models on your data

ML Engineers

Deploy, scale and monitor models in production with MLOps

Data Engineers

Design pipelines, warehouses and data quality checks

BI & Analytics Developers

Turn predictions into dashboards, alerts and reports

Testimonial

The proof is in their words.

Working with Triazine Software was an excellent experience… delivered every requirement.

Anadi Mishra, Chief General Manager, Indraprastha Gas Limited

Anadi Mishra

Chief General Manager, Indraprastha Gas Limited

We weren't looking for a traditional vendor. We wanted a true technology partner who could integrate with our team.

Chip Correra, Fractional CTO, Sound Royalties · United States

Chip Correra

Fractional CTO, Sound Royalties · United States

Triazine Software was recommended by IBM for our Pizza Online Ordering mobile app and the team stood up to our expectation.

Sudhir Kumar Singh, Technical Program Manager, Domino's Pizza

Sudhir Kumar Singh

Technical Program Manager, Domino's Pizza

Triazine Software transformed Ticketkore with a powerful smart ticketing and reservation platform.

Khomotjo R. Lebepe, CEO, Ticketkore · South Africa

Khomotjo R. Lebepe

CEO, Ticketkore · South Africa

Testimonial

Why Triazine

What Sets Triazine Apart From Other Predictive Analytics Companies

Among predictive analytics consulting companies, we start with the decision, not the algorithm. We build on the data platforms your business already runs, prove accuracy on your history and keep every model explainable and yours.

Talk to Our Predictive Analytics Experts

Built on Real Enterprise Data

12.9M+transactions on one data platform
  • Experience with sales, distributor, meter and incident data at scale
  • Data pipelines and warehouses built alongside models
  • Predictions embedded in ERP, CRM, SAP and EHS systems
  • Data quality checks before every training cycle

Accuracy Proven Before Go-Live

8–12 weeksto a monitored pilot model
  • Backtesting on unseen periods of your own data
  • Shadow mode before predictions drive decisions
  • Accuracy targets agreed with business owners
  • Consulting first, with simpler options when they fit better

Explainable and Governed

CMMI L3process maturity with ISO 9001:2015
  • Visible drivers behind every prediction
  • Confidence ranges with human review for low-confidence cases
  • Versioning, documentation and approval before release
  • Fairness checks for models that affect people

Models That Keep Improving

100%ownership of models, features and pipelines
  • Drift and accuracy monitoring after launch
  • Scheduled retraining as data grows
  • Portable models across clouds, with no vendor lock-in
  • NDA from the first call
FAQs

Predictive Analytics Solutions FAQs

What are predictive analytics solutions?

Predictive analytics solutions use historical and live data, statistics and machine learning to estimate future outcomes such as demand, risk, failures or customer behavior, so teams can act before issues arise.

What does predictive analytics consulting include?

Predictive analytics consulting reviews your key decisions, data sources and data quality, then delivers ranked use cases, recommended model approaches, data gaps and a roadmap.

What predictive analytics services does Triazine offer?

Consulting and data readiness, custom predictive analytics software, demand forecasting, churn and revenue prediction, AI operational intelligence, risk scoring, predictive maintenance, anomaly and fraud detection, system integration and MLOps.

How is predictive analytics different from BI?

BI dashboards show what happened and why. Predictive analytics estimates what is likely to happen next and ranks where to act first.

Should we buy predictive analytics software or build a custom solution?

Packaged predictive analytics software suits standard needs. Custom models fit better when your data, outcomes or systems are specific. Many clients combine both.

How do I choose between predictive analytics companies?

Look for proven results on enterprise data, explainable models, validation on your own history, integration with your systems, certified delivery and full ownership of what is built.

What is AI-powered predictive analytics?

AI-powered predictive analytics uses machine learning to find patterns in large, complex datasets that rules and traditional statistics miss, and improves as new data arrives.

What types of predictive models do you build?

Classification, regression, time-series forecasting, clustering and segmentation, anomaly detection, time-to-event and risk scoring models.

What is AI operational intelligence?

AI operational intelligence combines live operational data with predictive models to surface leading indicators, flag risks early and show teams where to act.

How much data do we need?

Typically 12 to 24 months of consistent history, with outcomes recorded reliably and key drivers captured. Our readiness assessment confirms this.

How do you validate model accuracy?

We backtest on held-out periods of your data, then run models in shadow mode alongside current decisions before go-live.

How long does a predictive analytics project take?

A data readiness assessment takes 1 to 2 weeks. A first model typically reaches a monitored pilot in 8 to 12 weeks, depending on data readiness.

Which use cases deliver value fastest?

Demand forecasting, churn and late-payment prediction, anomaly detection and risk scoring usually show results quickest.

Can predictions run inside our ERP, CRM, SAP or EHS systems?

Yes. We deliver predictions through APIs and integrations into the systems and dashboards your teams already use.

Are your predictions explainable?

Yes. Every prediction shows the factors behind it, using methods such as SHAP values, along with confidence ranges.

How do you keep models accurate over time?

We monitor accuracy and drift after launch and retrain models on a schedule or when performance changes.

How do you protect our data?

Through data minimization, masking, role-based access, audit trails and regional data residency. You own all models, features and pipelines.

Do you provide predictive analytics services for US companies?

Yes. US businesses engage us through Triazine Software LLC, with US contracting and a US team. Call +1 (347) 941-1655 or email sales@triazinesoft.com.

Get a Free Data Readiness Assessment

Share the decisions that matter most. We will review your data, rank your strongest predictive use cases and map a pilot plan, all under NDA. Response within 24 hours.

Book an Assessment
+1 (347) 941-1655sales@triazinesoft.com