KodeLogiK designs and builds AI, data and enterprise software for companies across the United States, from our base in Pune, India. Senior engineers, production-grade work, and a founder who stays in the room from the first call to the last release.
AI, machine learning, data, application, SaaS and e-commerce development: six practices, one team. Most clients start in one and grow into the others as the system matures.
Agentic AI, assistants and automation that run in production, not in a demo.
Models trained on your own order history to forecast demand by day, season, region and event.
One trusted source for every number in the business, and the reports that run on it.
Web, mobile and cloud applications built on .NET and deployed on AWS or Azure.
From idea to a subscription product that is ready to launch, scale and bill.
Online stores and back-office systems that keep billing, inventory and operations in step.
Software we have designed, built and run for clients across the United States. Client names are withheld under agreement and shared on request.
Shoppers struggled to picture new cabinet doors in their own kitchens, and the store’s long-running nopCommerce platform needed steady engineering alongside new features.
A generative visualiser that renders a customer’s kitchen with the chosen door style, plus ongoing platform work: shipping API migrations, email marketing integrations and database optimisation.
Shoppers see their own kitchen in the door style they are considering, inside the existing storefront. The same multi-year engagement keeps the platform fast through peak sale campaigns and now includes the demand-forecasting work below.
Years of order history sat in the store’s database, but planning still worked from last year’s totals. Demand moves differently by region and by season, and events like Black Friday distort the averages for everyone.
A forecasting model over the store’s order history that predicts demand day by day and month by month, with separate components for festival and sale peaks, for each region, and for climate seasons by region.
Forecasts the retailer can plan stock and campaigns against, instead of annual averages. The model also surfaced effects nobody was planning for, such as a sales rise in one region during hurricane season, now treated as a predictable seasonal peak. Figures are withheld under the client agreement.
Engineers buying load cells and controllers needed to find the right part by application, request quotes, and pull certificates, and the support team was answering the same technical questions from a library of 900+ articles.
A nopCommerce B2B platform with navigation by weighing application, configurable product pages and dynamic quote requests; SQL synchronisation feeding a certificate generator; and an AI knowledge base with retrieval-augmented search across the article library.
Customers self-serve on part selection, quotes and certificates, and get precise answers from the knowledge base instead of waiting on support.
A distributor serving a national carrier’s retail network sold 1,100+ SKUs through an ageing store that did not talk to its ERP, so inventory, orders and payments were reconciled by hand.
A rebuilt nopCommerce store with tiered pricing and a mobile-first checkout, two-way NetSuite integration for products, inventory and orders, and scheduled ACH payment processing through NACHA files with the client’s bank.
Retailers order and pay online, inventory and orders stay in step with NetSuite, and finance stopped re-keying payments.
A global IT distributor offered 15,000+ vendor certification courses through Cornerstone OnDemand, but finding the right class was slow and the LMS could not be replaced.
A custom portal layer integrated with the LMS: auto-complete course search, IP-based localisation of content and pricing, and a responsive interface, with enrolment still handled in Cornerstone.
Learners find courses in a few keystrokes, the LMS investment is preserved, and the site became a channel for organic and paid traffic.
A new ride-hailing service needed a backend that could match drivers to riders in seconds and stay consistent while many bookings change at once.
A microservices backend on AWS ECS with real-time updates over SignalR, driver matching protected by Redis distributed locks, and booking and payout logic in PostgreSQL.
A platform ready for the mobile apps to launch on, with documented APIs for the Flutter team and room to grow city by city.
A manufacturer of truck caps and covers took dealer orders by phone, mail and fax. We built a role-based portal with a searchable library of thousands of parts and dynamic order forms for custom covers and lids.
A regional parcel and freight carrier needed a site its teams could manage and customers could use. Custom API integrations deliver parcel tracking, drop-box lookup, rate calculation and account login.
A major university’s continuing-education division consolidated its programmes onto one site, with a custom API integration to its PowerCampus student information system and enrolment-focused search.
An industrial cord supplier moving online needed customers to find cords by gauge, length, rating and jacket. We built a nopCommerce store with a custom configurator and Apache Solr attribute filtering.
A manufacturer of emergency access systems sells to fire departments, law enforcement and property owners, each with its own rules. We built a Kentico commerce site with ERP integration, a customer portal, an order-approval workflow, dynamic PDF generation and a fire-department lookup.
Agents at a coastal brokerage asked the same questions of an outdated knowledge base. An LLM assistant answers from company resources and the web through retrieval-augmented search, with content kept in sync by the admin team.
The stack behind 18 years of production work, with AI and automation now at the centre of most new engagements. Dark tiles mark our core, where we are strongest.
We choose the stack for the problem, and we are candid when something outside this list is the better fit.
Four stages, each ending with something concrete in your hands. You can stop after any of them.
We learn your business, your data and your constraints, then map options with honest estimates for each.
Architecture, data model and interface decisions made in the open and reviewed with you before production code starts.
Working software lands in a live environment every week, so you steer with real screens rather than status reports.
Monitoring, support and steady improvement after launch, on a retainer sized to how much the system changes.
Smaller than the big consultancies, more senior than the freelance marketplaces.
The engineers who scope the work are the engineers who build it. No hand-off to a junior bench after the sale.
We have shipped AI systems that process real documents and real orders every day. Prototypes are a step, never the deliverable.
Eighteen years of commerce platforms, enterprise integrations and data systems on AWS and Azure. We fit the systems you already run instead of replacing them.
Nearly two decades of working with American companies: overlapping hours with both coasts, US contracts and invoicing where needed, and a track record with distributed client teams.
Two simple ways to engage. Many clients start with a project and move to a dedicated resource once the system is live.
We scope the work with you, quote it project by project, and deliver against that scope with weekly releases. Changes are agreed in writing before they affect cost or timeline.
A senior engineer, or a small team, embedded with yours on a monthly basis: working in your tools, your sprints and your hours, with continuity from month to month.
Hiten has spent 18 years designing and delivering software for US companies, with a focus on applied AI, machine learning and e-commerce platforms. His work spans B2B commerce systems integrated with ERPs, retrieval-augmented knowledge bases and agentic systems built on the latest Claude and OpenAI models, and generative features built into live retail stores. He founded KodeLogiK in Pune so that clients work directly with the architect who designs their system and remains accountable for it through delivery and beyond.
The questions we hear most on a first call.
A short call is enough to tell whether we are the right fit. Send a few lines about the project, or write to Hiten directly; replies come from him, usually within one working day.
