/ Service Foundation
Build the AI foundation.Run it in production.
ACI Infotech engineers the data foundation, builds the AI on top, and runs it in production. Most enterprise AI stalls before it gets there.
Case Study
From Lakehouse to Live AI.
Lakehouse modernization, Delta pipelines, MLflow, governance, and real-time analytics for teams that need Databricks to run in production.
87% Reduction in data processing time
Platform Expertise
The Whole Microsoft Stack. AI-Led.
Azure is strongest when it connects to the business stack. We bring Azure, Dynamics 365, Power Platform, and data engineering together around measurable operations.
ArqAI Labs
Forward Deployed AI Engineering At Scale.
Engineers embedded in the problem, not advising from outside. Delivered with our strategic partner ArqAI, whose accelerators come from years of doing this work.
Our Partner Platforms
Your best data is
sitting in the dark.
Most enterprise AI doesn’t fail at the model. It fails in the deep, where the data is siloed, ungoverned, and out of reach. We go down, bring it up, and keep it running in the light.
Lakehouse modernization across 500+ stores
“They flawlessly delivered top-tier digital data on a milestone that mattered to us. Their dedication and expertise made them a genuine partner, not a vendor.”
/ The playbook vault
Patterns we've run before.
Every engagement leaves a blueprint. These are the ones we reach for again and again. Documented, measured, and ready to point at your problem.
Blueprints from real engagements. Pick the one that fits, and we start from the hundredth mile, not the first.
Enterprise deployments, all documented.
across 10 architecture patterns
Mainframe-to-Cloud Migration
Aging Hadoop, Teradata, and Oracle estates re-architected for the cloud, with a parallel-run cutover so nothing goes dark.
Can't find your scenario?
We've run a hundred more than these. Bring the mess. We'll bring the blueprint.
Proof that runs
in production.
From lakehouse modernization and production AI to resilient platforms and automated operations, see what changes when engineering is tied to the outcome.
Retail / Data engineering
Retail data, rebuilt for operational speed.
ACI replaced fragmented pipelines with a governed Databricks lakehouse, moving critical analytics from days to hours.
A lakehouse that moves models into production faster.
Financial services / Applied AI
90d from prototype to production
ACI connected Azure Data Lake, Databricks, AKS, and Synapse into a governed foundation for analytics and machine learning.
Read the Azure Lakehouse storyA complex digital estate, engineered to stay available.
Technology / DevOps and platform
99.97% system uptime across 72+ servers
Automated CI/CD, monitoring, load balancing, and centralized logs helped releases move faster without disrupting operations.
Read the DevOps storyContract operations that move at business speed.
Technology / Workflow automation
67% reduction in contract cycle time
ACI automated creation, review, approval, compliance, and renewal in a governed Conga CLM environment.
Read the automation story/ What we build
From raw data to AI in production.
We build the data foundation, put the AI on top of it, and stay on to run both once they are live.
- /01Move your data onto modern ground.Data Engineering & LakehouseCampaign analysis cut from 3 weeks to 4 hours. 94% adoption.Lakehouse migrationReal-time pipelinesGovernance & lineageSelf-service BI
- /02Build AI on a foundation that holds.Applied AI & GenAIPrototype to production in 90 days on a governed Azure lakehouse, 94% eval pass rate.Copilots & agentsRAG systemsForecasting & MLMLOps & evals
- /03Legacy out, cloud in, nothing goes dark.Cloud ModernizationMainframe-to-cloud cutovers run in parallel: 68% cost cut, zero downtime.Landing zonesMigrations & cutoversFinOpsKubernetes platforms
- /04Past the pilot, into production, for good.Managed Run & SRE99.97% uptime across a 72+ server estate, releases still moving.24/7 operationsSRE & on-callObservabilityChange management
/ Signals
Field notes from the work.
/ Questions
Answers before the first call.
The questions we hear most, answered straight. Anything else belongs in a conversation.
What does ACI Infotech do?
ACI Infotech is an enterprise engineering firm. We build the data foundation, put AI on top of it, and run both in production. That covers data engineering and lakehouse platforms, applied AI and GenAI, cloud modernization, and 24/7 managed operations with SRE.
Which platforms does ACI Infotech work with?
Databricks, Snowflake, Microsoft Azure, AWS, Google Cloud, SAP, ServiceNow, Salesforce, and Braze. For AI delivery we also work with frontier model providers and tooling such as Anthropic, OpenAI, and LangGraph.
Which industries does ACI Infotech serve?
Financial services, healthcare, retail and consumer, hospitality, manufacturing, energy and utilities, and transportation. Most engagements are with large enterprises that need regulated, production-grade systems.
What is ArqAI Labs?
ArqAI is our strategic AI engineering partner, and ArqAI Labs is the forward-deployed practice we run together. Engineers embed inside the problem and ship with accelerators built from years of delivery work. It lives at thearq.ai.
What is ACI Interactive?
ACI Interactive is our specialized division for marketing, MarTech, and CDP services. It brings strategy, customer data platforms, and journey orchestration under one roof, with new products planned under the same name.
How does an engagement start?
Start with a conversation at aciinfotech.com/contact. Advisory engagements produce a written plan within 48 hours, and a build pod can be shipping within two weeks. Many projects start from one of our documented playbooks, so the first mile is already mapped.