Innopas Store
Your Marketplace for Production-Ready AI, Cloud & Data Solutions
The Innopas Store is a curated catalog of ready-to-deploy accelerators, frameworks, and industry solutions built on proven Innopas foundations inno-6, inno-V, lalla.ai, and our Digital Garages. Browse outcome-focused building blocks that deliver measurable business results in weeks, not months
Speed Without Compromise
Deploy production-grade solutions in 2-16 weeks using pre-validated architectures and proven frameworks
Outcome-Focused, Not Technology-Focused
Every solution maps to business KPIs: cost reduction, revenue growth, risk mitigation, customer satisfaction.
What You'll Find
Pre-validated architectures, reference implementations, and domain-specific accelerators from Innopas and our ecosystem of trusted AI, cloud, data, and cybersecurity partners
Three Pillars of Innopas Store
Innopas Accelerators
Pre-built AI, cloud, and data solutions ready to deploy
Partner Solutions
Curated products from vetted startups and innovators
Industry Use Cases
Vertical-specific implementations with proven ROI
How Innopas Store Works
Join our curated marketplace and access 100+ enterprise buyers with Innopas go-to-market support.
Browse & Discover
Filter by industry, technology, deployment model, pricing, and implementation time. AI-powered recommendations match solutions to your business challenges
Evaluate & Validate
Access datasheets, architecture docs, customer case studies, and live demos. See transparent pricing and ROI estimates.
Deploy & Scale
Choose SaaS, on-premises, or hybrid deployment. Innopas handles implementation, integration, training, and ongoing support using proven frameworks (Ideation Garage → Digital Garage → Production).
Measure & Optimize
Track business KPIs, not just technical metrics. Continuous improvement loops ensure sustained value delivery.
Document Intelligence at Scale
What It Means: Credit, KYC, claims, and trade finance remain document-heavy; automation of intake, classification, and evidence extraction unlocks significant
Regulatory Technology (RegTech) & Governance Automation
What It Means: Regulatory volume and expectations for traceability are rising; manual compliance becomes a bottleneck.
Enterprise AI Governance & Model Risk Management
What It Means: As AI influences decisions and customer interactions, model risk, explainability, hallucination control, and auditability become regulatory expectations.
Cloud Data Platform Modernization as AI Foundation
What It Means: Without trusted data and scalable compute infrastructure, AI pilots fail to industrialize.
Retail Digital Banking & Consumer
Use Case 1: Contact Center Agent Assist & Self-ServiceSuccess Measures: AHT reduction | First-contact resolution rate | CSAT/NPS | Compliance
Financial Crime – Fraud, AML, Sanctions
Use Case 1: Real-Time Card Fraud Detection with Graph AnalyticsSuccess Measures: Fraud loss rate (bps) | False positive reduction |