/What we do
We build the systemsthe business runs on.
Data platforms, cloud, applications, and the operations that keep them up. We build the foundation, put AI on top of it, and stay on the hook long after go-live.
/Data and platforms
Move your data ontomodern ground.
Lakehouse migrations, real-time pipelines, governance and lineage, and self-service BI that people actually open.
/Cloud and modernization
Legacy out, cloud in,nothing goes dark.
Mainframe, Hadoop, Teradata, and Oracle estates re-architected for the cloud, cut over in parallel so the business never feels the switch.
/Run and operate
Past the pilot, intoproduction, for good.
24/7 operations, SRE and on-call, observability, and change management. Someone is awake whenever your estate is.
/ERP and business apps
Dynamics 365, wiredinto your stack.
Finance, supply chain, sales, and service on one platform, joined up with Azure data and Power Platform automation so the number in the ERP is the number in the report.
/
Frontier AI, deliveredwith ArqAI Labs.
Our strategic AI partner. Engineers embed in the problem and ship production agents for regulated operations, with governance and an audit trail on every action.
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.
“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.
Pick the one that fits, and we start from the hundredth mile, not the first.
Real-Time Inventory Platform
Multi-Source Data Integration
Supply Chain Visibility
Post-Merger ERP Unification
Agentic AI Deployment
Flagship playbook
Mainframe-to-Cloud Migration
Aging Hadoop, Teradata, and Oracle estates re-architected for the cloud, with a parallel-run cutover so nothing goes dark.
- Databricks
- Snowflake
- Azure
- AWS
- Kubernetes
- Dynatrace
- SAP
- Salesforce
- ServiceNow
- Google Cloud
- Braze
Can’t find your scenario?
We’ve run a hundred more than these. Bring the mess. We’ll bring the blueprint.
Selected Success Stories
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.
- Azure
- Databricks
- Delta Lake
Financial services / Applied AI
A lakehouse that moves models into production faster.
ACI connected Azure Data Lake, Databricks, AKS, and Synapse into a governed foundation for analytics and machine learning.
- Azure
- Databricks
- Kubernetes
Technology / DevOps and platform
A complex digital estate, engineered to stay available.
Automated CI/CD, monitoring, load balancing, and centralized logs helped releases move faster without disrupting operations.
- CI/CD
- Monitoring
- Platform ops
Financial services / SAP S/4HANA
Finance reporting, rebuilt on S/4HANA.
ACI moved a global investment firm onto SAP S/4HANA and rebuilt its allocation and reporting run, migrating with zero downtime.
- SAP S/4HANA
- Finance
- Migration
Banking / Infrastructure and security operations
Reactive IT put under constant watch.
ACI placed a Fortune 500 bank estate under proactive NOC and SOC monitoring, holding 99.94% uptime and taking $4.7M a year out of IT cost.
- NOC
- SOC
- Monitoring
/ Services
Build it, run it,
keep it secure.
Data and analytics, applied AI, cloud modernization, managed operations, and cybersecurity. Five practices, one delivery team, on the hook after go-live.
Data Engineering & Analytics
Modern data platforms on Databricks, Snowflake, and cloud-native architectures: lakehouse migration, real-time pipelines, governance and lineage, and the analytics and BI that run on top of them.
Campaign analysis cut from 3 weeks to 4 hours. 94% adoption.
- Lakehouse migration
- Real-time pipelines
- Analytics & BI
- Governance & lineage
Applied AI & GenAI
Copilots, agents, RAG systems, forecasting, and MLOps that move from prototype to governed production.
Prototype to production on a governed Azure lakehouse, 94% eval pass rate.
- Copilots & agents
- RAG systems
- Forecasting & ML
- MLOps & evals
Cloud Modernization
Landing zones, FinOps, Kubernetes platforms, and mainframe-to-cloud cutovers run in parallel so nothing goes dark.
Mainframe-to-cloud cutovers run in parallel: zero downtime.
- Landing zones
- Migrations & cutovers
- FinOps
- Kubernetes platforms
Managed Run & SRE
24/7 NOC and SOC coverage, observability, on-call SRE, and change management for production estates.
Across a 72+ server estate, releases still moving.
- 24/7 operations
- SRE & on-call
- Observability
- Change management
Cybersecurity
Zero-trust architecture, cloud security posture, compliance readiness, threat response, and 24/7 SOC operations.
Attack surface cut by 35%, with secure releases moving 70% faster.
- Zero-trust architecture
- SOC operations
- Compliance readiness
- Threat response
ACI Interactive
Marketing, MarTech, and customer data platform services: strategy, customer data platforms, journey orchestration, and marketing analytics.
All of it under one roof, with new products on the way under the same name.
- MarTech & CDP strategy
- Customer data platforms
- Journey orchestration
- Marketing analytics
/ Signals
Field notes from the work.
Agentic AI Cybersecurity: What Your SOC Team Must Rethink in 2026
Pharma AI Data Problem: Why Clinical Trial Data Kills Your Models
The Enterprise Quantum Agenda: Navigating the Quantum Shift
Retail executives face unprecedented pressure to modernize technology stacks while maintaining operational efficiency and customer satisfaction. Traditional retail technology…
/ 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.