/ Application Development
Enterprise Application Development That Survives Production
ACI Infotech builds enterprise applications that hold up after launch: cloud-native systems on Azure and Kubernetes, wired into your SSO, your lakehouse, and your models from day one. We design for the integration layer first, because that is where enterprise apps actually fail, then run what we build under SLA.
- Senior engineers on every build
- Production SLAs
- Cloud native on your stack
- We run what we build
KubernetesCloud-native on your stack
Azure, AWS, and Kubernetes in production.
Wiring first, polish second
Apps earn trust at
the integration layer.
Authenticate against your SSO, query the lakehouse gently, call your models with governance attached, and hold steady when 10,000 concurrent users arrive at once. We engineer that wiring first and the polish second, which is why the demo and production behave the same.
2.5xEmail engagement lift
Guest experience and loyalty platform across 600+ locations
“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.”
Director of Data and MarTech · A national convenience retailer
Read the case study/ Scope
What we actually build
Enterprise applications. AI-powered systems. Custom business tools. Not marketing sites, not mobile-first consumer products, not MVPs destined for rewrites. We build applications that sit on top of complex enterprise infrastructure and integrate with your data and AI stack from day one.
The distinction matters. Most development firms build greenfield products. We build the enterprise applications that run on top of the data platforms and AI systems we have already deployed for Fortune 500 clients, or that integrate cleanly with yours.
When your application needs to authenticate against your SSO, query your lakehouse, invoke your ML models, and handle 10,000 concurrent users: that is the job we do.
/ What we build
Production software. Six ways in.
01
Enterprise applications
Custom web and line-of-business applications built for Fortune 500 operations. Production-grade from the first sprint: observability, security, and CI/CD go in before the feature code does.
Next.jsReactTypeScriptNode.jsPostgreSQL
Next.js
React
TypeScript
Node.js
PostgreSQL02
AI-powered applications
Copilots, agents, and recommendation systems with real AI in the loop, not a chat widget bolted onto the corner of the screen. Responses stay grounded in your data and governed, which keeps legal calm.
Azure OpenAIAnthropicLangChainVector search
Anthropic
LangChain03
Custom business applications
Internal tools and workflow systems that retire the spreadsheet empire. Every action audited, every state visible, nothing important living in someone’s inbox.
ReactPythonFastAPI.NETGraphQL
Python
FastAPI
.NET
GraphQL04
APIs and integration platforms
REST, GraphQL, and event streams that connect applications, data, and partner systems. Contract-tested and documented, so integrating with you stops being anyone’s least favorite job.
GraphQLRESTgRPCKafkaMuleSoft
Kafka05
Legacy modernization
Java, .NET, and mainframe estates modernized in strangler-pattern increments. No big-bang rewrite, no weekend cutover heroics. The old system shrinks until turning it off is boring.
KubernetesDockerSpring BootStrangler Pattern
Kubernetes
Docker
Spring Boot06
Platform engineering
Internal developer platforms and delivery tooling so your teams ship faster with fewer 2am surprises. Golden paths and self-service, not a gatekeeping committee.
BackstageGitHub ActionsTerraformArgoCD
Backstage
GitHub Actions
Terraform
ArgoCDRefactor or rebuild?
The most expensive sentence in enterprise software is “we should just rewrite it.” Sometimes it is even true. We decide with evidence, and this is the honest split we use.
Refactor with the Strangler Pattern
Pick this when
- The system still earns its keep and downtime is expensive
- The domain logic is sound; the platform under it is not
- You have to keep shipping features during the migration
New services take over one seam at a time while the legacy estate shrinks in production. Value lands every quarter, not at the end.
Rebuild greenfield
Pick this when
- The data model no longer matches the business
- The framework is out of support and blocking security and hiring
- The cost of changing the old code now exceeds replacing it
Built alongside the old system and parallel-run until the numbers match. Nothing gets switched off on faith.
/ Results
Built for enterprises. Tested by production.
Fortune 500 Convenience Retail Chain
600+Locations with zero downtime
A digital guest experience and loyalty platform with real-time personalization at the point of sale, built on Salesforce, Braze, and Kafka.
Read the platform story
Global Financial Services Firm
90dFrom prototype to production
Application and ML workloads shipped to production on AKS, with a governed Azure data foundation wired in underneath.
Read the Azure story
Enterprise Technology Company
99.97%Uptime across 72+ servers
Automated CI/CD, monitoring, load balancing, and centralized logs keep releases moving without taking the estate down.
Read the DevOps story/ How an engagement runs
Five phases. No mystery.
01
Discover and design
Weeks 1 to 3
The business problem, the user journeys, and the infrastructure the application has to live with. Designed for production from day one.
02
Architect the foundation
Weeks 4 to 6
CI/CD, observability, security, and data integration before any feature code. Boring on purpose.
03
Build in increments
Months 2 to 6
Two-week sprints with working software at the end of each. Real users testing, not mockups in Figma.
04
Launch and stabilize
Production hardening, load testing, runbooks, and an SLA baseline. We stay on the release while you cut over.
05
Operate and evolve
Post-launch operations, feature evolution, and continuous tuning. We run what we build.
Launch day is the starting line.
Most firms hand over a repo and disappear. Our applications go into managed operations: 24/7 monitoring, SLA-backed incident response, and continuous tuning by the team that wrote the code. The 3am page goes to us.
Managed Operations/ Why ACI
Why enterprises pick us for applications
/ Delivery
Senior engineers on every engagement, and the architects who scope the build write the code.
No switch to a junior bench after the kickoff.
/ Integration
Applications wired into your SSO, lakehouse, and models from day one, because we build those layers too.
/ Scale
Founded 2006.
1,200+ engineers across 11 global delivery hubs. 500+ enterprise projects.
/ Operations
ISO 27001 certified, with 24/7 managed operations and SLA-backed incident response after go-live.
/ Questions
Build questions,
answered straight.
The questions we hear most before an application engagement. Anything else belongs in a conversation.
What makes ACI different from a development agency?
We are an engineering firm, not an agency. We build applications for enterprises that already have complex data and AI infrastructure, and our builds integrate with that infrastructure natively. No greenfield startup products, no marketing sites, no handoff-and-vanish.
Do you build mobile apps or e-commerce platforms?
Mobile-first consumer apps and e-commerce platforms are not our focus. We build enterprise applications, AI-powered systems, and internal platforms for Fortune 500 operations. If you need a consumer app, we will say so and point you to a better-fit partner.
What technology stack do you prefer?
Next.js, React, and TypeScript up front; Node.js, Python, and .NET behind; and whatever cloud and data platform you already run. We meet your stack where it is instead of imposing ours because we happen to like it.
Should we refactor or rebuild our legacy application?
Refactor with the strangler pattern when the system still earns money and the domain logic is sound. Rebuild when the data model no longer matches the business or the platform is blocking security and hiring. We decide with evidence, and we parallel-run either way before anything old gets switched off.
How long does an enterprise application take to build?
Foundations take the first six weeks. A first production release typically lands within four to six months, shipped in two-week increments so working software shows up long before the end date.
What happens after the application launches?
This is where most firms disappear. We do not. Post-launch operations, SLA-backed support, and continuous optimization are part of the engagement. We run what we build.
Can you work inside our existing engineering organization?
Yes. We slot pods into your rituals, your repos, and your standards, or run the build end to end and hand over with runbooks. Either way, your team owns the system at the end.
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