Enterprise AI in production - in weeks,
not another pilot
Pre-built AI accelerators that cut the time, cost, and risk of moving from proof-of-concept to production-grade ROI – deployed within your existing stack, governed from sprint one, and built on real enterprise delivery experience across regulated industries
ISG Noteworthy Provider
Advanced Analytics & AI
A Track record of Excellence
Since 2016
ISO 27001 Certified
Global Security Standards
Industry Partnerships
Databricks, Snowflake, Microsoft
IDA
Intelligent Data Accelerator
IQA
Intelligent Quality Accelerator
CQA
Conversational Agent Accelerator
CDP
Customer Data Platform Accelerator
Why Accelerators
Three-Pillar Philosophy
From pilot to production in one sprint cycle
Most enterprises have AI projects that have been ‘almost ready for production’ for over a year. Our accelerators are pre-built, pre-tested, and pre-governed — which means your team spends time deploying value, not re-inventing infrastructure that already exists
Governed and compliant from day one
Every accelerator ships with enterprise security alignment, audit-ready data lineage, and human-in-the-loop controls. We have deployed these within the most strictly regulated BFSI, Pharma, and insurance environments in the world
Built on what you already own
No new licensing. No forced platform migrations. Every accelerator deploys within your existing cloud and data stack — AWS, Azure, Snowflake, Databricks, or whichever combination your organisation has already approved
87% of AI projects fail to reach production
ours don’t
The most expensive thing in enterprise AI is not the model. It’s the organizational debt that accumulates while a proof-of-concept sits on a shelf waiting for the engineering capacity, governance approval, or change management bandwidth to get it into production. Ignitho Accelerators exist for one reason: to collapse the gap between ‘it works in the lab’ and ‘it runs in daily operations’ — by providing the pre-built components, governance frameworks, and deployment patterns that make production AI achievable in sprints rather than quarters
The 12-month POC shelf problem
AI pilots that impress in demos but never ship to production because the organisation lacks the MLOps infrastructure, governance framework, or engineering capacity to take them the last mile
Data quality blocking every AI initiative
Over 90% of enterprises believe their data is too messy to start an AI project. Most abandon the initiative rather than solving the data problem first. Our IDA accelerator was built specifically to close this gap automatically
SDLC cycles too slow to keep up with business need
By the time a traditional development cycle tests, validates, and deploys an AI feature, the business requirement has changed. Slow quality assurance is the silent killer of AI value — IQA was built to end it
Adoption gaps that make AI invisible to the business
AI that requires users to learn a new interface, change their workflow, or trust a black box never gets adopted. The CQA accelerator solves this by integrating conversational AI directly into the tools your teams already use every day
87%
of AI projects fail to scale beyond pilot stage
99%
reduction in ETL effort through IDA self-healing pipeline agents
65%
reduction in SDLC time achieved through the Intelligent Quality Accelerator
18 months
average time for enterprise AI projects to reach production without accelerators
Four accelerators. One purpose: AI in production
Each accelerator addresses a specific failure mode in enterprise AI adoption — from data quality and pipeline debt to SDLC slowness and adoption gaps. All four are deployable within your existing stack, governed from sprint one, and proven in regulated enterprise environments
Intelligent Data Accelerator (IDA)
An AI layer deployed between your datasets and your data pipelines that catches source changes proactively before they break downstream processes The result is self-healing data infrastructure that frees your engineering team from the maintenance loop
Intelligent Quality Accelerator (IQA)
IQA rapidly validates your development lifecycle and eliminates the quality assurance stage that is too slow, too manual, enabling faster production deployment
Conversational Agent Accelerator (CQA)
CQA deploys NLP agents that meet users exactly where they work, integrating into existing tools like Slack and Teams to drive adoption
Customer Data Platform Accelerator (CDP)
Provides a defined path to ROI before a single sprint is planned, enabling customer intelligence without heavy platform investment
From triage to production AI
in weeks, not quarters
Accelerators are not products you buy and configure yourself. They are deployments we run with you — scoped, customized, integrated, and governed within your specific enterprise environment by the same specialist POD teams that deliver our core services
Accelerator Fit Assessment Day 1 to 7
We run a rapid assessment of your current data estate, AI maturity, and highest-ROI use cases to identify which accelerator applies. No long discovery programme. One week. One prioritised deployment plan
Configuration & Integration Week 1 to 2
Each accelerator is configured for your specific environment — your cloud stack, security requirements, and approved platforms. We integrate with existing systems rather than adding new infrastructure.
Deployment & Validation Sprint 1 to 3
The accelerator deploys in live conditions alongside your team. Every sprint closes with measurable outcomes. Governance and explainability are built into every deployment from day one
Stabilise, Optimise & Scale
Once in production, we optimise performance, document configuration, and enable your team to operate independently — or extend into new use cases as your AI programme matures
Our Specialist Partnerships
Partnering with industry leaders to deliver enterprise-grade solutions
