Product Engineering & Maintenance.
You know what the product should do. We turn that into a frontend, a backend, a data model and a way to ship updates, then keep it healthy after launch with maintenance, SLAs and code ownership.
See how we build itMessy requirements.Production software.One senior team.
ABOUT US
One team from unclear brief to production
Bring us the business problem, the half-built product, or the
system that cannot take the next stage of growth.We scope it, design it, and build it across product, backend,
distributed systems, cloud, DevOps, and AI infrastructure.You keep the code and infrastructure. We stay after launch.
SERVICES
The hard parts, handled as one system
Custom SaaS Platforms.
The work is running on spreadsheets and three subscriptions. We replace that with one SaaS product: tenants, billing, roles and the workflow your team already knows.
See how we build itApplied AI & Automation.
If a person is copying invoices, hunting SOPs or answering the same ticket, we put AI on that job. Structured output, a human check when confidence is low, and privacy defaults that keep your data out of shared models.
See how we build itCloud & DevOps Engineering.
We run infrastructure like an engineering product: infrastructure as code, GitOps delivery on Kubernetes, automated CI/CD and SRE practice. When the product is already slow or old, we find the bottleneck and migrate without downtime.
See how we build itUI/UX Product Design.
B2B software is not a landing page. We design the screens operators use for eight hours: dense tables, keyboard paths, and a Figma system that matches the code.
See how we build itDistributed Systems.
We design, build and rescue distributed systems: microservices and event-driven architectures that process orders, payments and telemetry without losing an event. You get systems that degrade predictably under load and partial failure, with tracing, replay and recovery tooling so nothing is silently lost.
See how we build itAI Inference Optimization.
The model is good, but the GPU bill is climbing and responses feel slow. We build the production serving layer: engine benchmarks on your traffic, GPUs sized to real demand, and latency and cost tracked per request.
See how we build itAI Post-Training.
A generic model will not know your contracts or your output format until it is trained on real examples of both. We run post-training as disciplined engineering, on data you approve, with evals agreed before training and everything inside your boundary when you need that.
See how we build itPORTFOLIO
Products that replaced the messy version
Aurora LMSKindle Academy's LMS was falling over at exam time. We rebuilt it as one platform for 80,000 students.View the case study
Atlas AcademyExecutives were losing work on flights. We built a mobile academy app that keeps lessons and reviews when the network drops.View the case study
PulseFitHalcyon Fit was running bookings, billing and trainer pay in three tools. We replaced that with one gym operating system.View the case study
LedgerlyStrata Retail spent 35 hours a week reconciling supplier invoices by spreadsheet. We built one ops portal for 24 branches.View the case studyNorthbeam OpsDispatchers were refreshing a 50-column spreadsheet while 350 trucks pinged GPS. We built a live dispatch board that keeps up.View the case studyForge CRMForgeworks reps were fighting a bloated CRM instead of talking to buyers. We built a pipeline they update in seconds.View the case studyAurora LMSKindle Academy's LMS was falling over at exam time. We rebuilt it as one platform for 80,000 students.View the case studyAtlas AcademyExecutives were losing work on flights. We built a mobile academy app that keeps lessons and reviews when the network drops.View the case studyPulseFitHalcyon Fit was running bookings, billing and trainer pay in three tools. We replaced that with one gym operating system.View the case studyLedgerlyStrata Retail spent 35 hours a week reconciling supplier invoices by spreadsheet. We built one ops portal for 24 branches.View the case studyNorthbeam OpsDispatchers were refreshing a 50-column spreadsheet while 350 trucks pinged GPS. We built a live dispatch board that keeps up.View the case studyForge CRMForgeworks reps were fighting a bloated CRM instead of talking to buyers. We built a pipeline they update in seconds.View the case studyWHY VISWANA
Senior engineering without the agency handoffs
ROUGH REQUIREMENTSHALF-BUILT PRODUCTSSCALING BOTTLENECKSFRAGILE DEPLOYSHIGH GPU COSTSMANUAL OPERATIONSROUGH REQUIREMENTSHALF-BUILT PRODUCTSSCALING BOTTLENECKSFRAGILE DEPLOYSHIGH GPU COSTSMANUAL OPERATIONS
You talk to the people building it
The engineers on the first call stay close to the architecture and code. Your context does not disappear into account-management handoffs.
The system is yours from day one
The repository, cloud accounts, infrastructure configuration, and documentation stay under your control. There is no proprietary lock-in.
Launch is not the handoff
We stay for production fixes, monitoring, and the next release. When you take it in-house, a clean handover is part of the work.
THINKING
Notes from the work
Notes on distributed systems, cloud & DevOps, AI inference and post-training — written from the work of turning messy processes into products that hold up.
View all notesQUESTIONS
Questions people ask before every project
We reply within one business day. You get a short set of questions about the work, the current tools, and what has to exist first. If it looks like a fit, we set a call. If it does not, we say so.
We are a strong fit for end-to-end product builds, complex backends, distributed systems, AI inference, cloud and DevOps, and existing products that need a careful rescue. If the work is a one-page site or a one-day fix, we will tell you quickly rather than force a larger engagement.
The people on the call are the people who write the architecture and the code. We do not take a brief and pass it to a separate delivery team.
Yes. Code, infrastructure config and design files are yours. We sign an NDA and IP assignment before work starts. Nothing is reused on another client.
Yes. We start with a read of the codebase, the data model and how it fails in production. Then we propose a path: fix what is blocking you now, or replace parts over time. We do not push a full rewrite as the default.
It will. We write a clear first scope so you know what is in and what is out. When something new shows up, we price and schedule it before we build it. We do not quietly absorb it and then miss a date.
We estimate from the workflow, not from a feature list. You tell us who uses it, what is broken today, and what has to work on day one. Most products land between 4 and 12 weeks. You get a range and a written scope before we start.
Launch is when real use starts, not when we disappear. We stay available for fixes, small changes and the next version, and many clients hand us ongoing maintenance: uptime and error monitoring with SLAs, dependency and security patching, and a release cadence their team controls. You can pause or take it in-house whenever you are ready.
No. You know the business. We ask about the work, the people who do it, and what a good day looks like. We keep the technical talk for the parts you want to see.
START HERE
Start with the messy version
Spreadsheets, a half-built product, or a tool that no longer fits. We reply within one business day with questions, not a pitch deck.
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