We build the systems
your businessactually runs on.
We build the operational software behind businesses that move physical things — fleets, field teams, assets, inventory and the money that moves with them. Built from scratch, in your repository, deployed to your cloud or your own hardware.
- Web console
- Mobile, offline-first
- Supplier & customer portals
- Approvals with limits
- State machines
- Exception queues
- Accounting & payroll
- Payments
- Email, storage, messaging
- Modelled schema
- Append-only history
- Role & field permissions
Deploys to
Your cloud
or
Your own hardware
What every system we build actually contains. Yours will have different boxes in it — these are the layers that decide whether it survives its third year.
- Engineering practices
- 17
- One delivery standard across all of them
- Industries served
- 05
- Where domain constraints define the build
- Response to enquiries
- 1 day
- A real engineer, within one working day
- Code ownership, yours
- 100%
- Your repo, your cloud, no licence to us
Seventeen practices,
grouped by what they do.
Breadth is only useful if the standard holds across it. Every practice below runs the same way: typed, tested where it counts, deployed by pipeline, documented and handed over.
Operations & systems
The systems a business runs on
- 01
Custom software development
Systems built from scratch for how your business actually works — and engineered for the load you will have in three years, not the demo.
TypeScriptReactNext.js - 04
Procurement and ERP software, built from scratch
Source-to-pay, inventory and vendor portals engineered from the ground up — no licence per seat, no consultant to change an approval limit.
TypeScriptNext.jsNode.js - 07
Asset management software development
Asset registers, maintenance workflows and lifecycle tracking that reconcile to your books instead of contradicting them.
Next.jsTypeScriptNode.js - 11
Fleet tracking and management solutions
GPS tracking, telematics ingestion, route optimisation and driver scoring — built for thousands of vehicles, not a demo of ten.
Node.jsKafkaTimescaleDB - 02
Web application development
Multi-tenant SaaS, customer portals and internal tooling, built on React and Next.js with the boring parts done properly.
ReactNext.jsTypeScript - 03
Mobile app development
iOS and Android applications that hold up on a bad network, an old device and a real user's commute.
React NativeFlutterSwift
Automation & AI
Work taken off your team, with a human in the loop
- 08
AI agents and agentic workflows
Tool-using agents built on LangChain and LangGraph — with evaluation, guardrails, approval gates and a hard cost ceiling.
LangGraphLangChainClaude API - 09
AI automation and workflow engineering
Autonomous workflows that take real work off your team — with approval gates, audit trails and a human in the loop where it matters.
Claude APILangGraphTemporal - 10
Applied AI and LLM engineering
LLM applications, retrieval and document intelligence — built on existing models, with an evaluation harness rather than vibes.
Claude APIOpenAIOllama
Platform & engagement
What holds it up, and how we start
- 05
HRMS and HR software development
Custom HR platforms — onboarding to exit, with statutory compliance and an audit trail that satisfies a labour inspection.
Next.jsTypeScriptNode.js - 06
Custom CRM development
A CRM shaped to how your team actually sells, instead of a per-seat product your team quietly stops updating.
Next.jsTypeScriptNode.js - 12
Data engineering and analytics
Pipelines, warehouse modelling and dashboards that produce one number everyone agrees on.
dbtSnowflakeBigQuery - 13
Cloud engineering and DevOps
Infrastructure as code, Kubernetes, pipelines and cost control — so deploys stop being an event.
AWSAzureKubernetes - 14
On-premise and bare-metal infrastructure
If your software cannot live on someone else's cloud, we build and run it on your own hardware — properly, with the same pipelines and observability.
KubernetesDocker SwarmDocker - 15
MVP development for startups
A real, launchable product in eight to twelve weeks — built so your Series A engineers do not throw it away.
Next.jsTypeScriptPostgreSQL - 16
Codebase rescue and legacy modernisation
Inherited something nobody wants to touch — AI-generated, offshored or just old? We make it safe to change again.
TypeScriptPythonPHP - 17
Technical consulting and architecture
Architecture review, technology selection, due diligence and fractional CTO cover — advice with a name on it.
Architecture reviewTCO modellingThreat modelling - Start a conversation →+
Custom engineering
Need a specialized pipeline, proprietary integration, or bespoke workflow not covered in our standard practices?
How the work
actually goes.
No methodology branding. Four habits that reliably separate projects that land from projects that quietly stop being mentioned.
- 01
Understand before estimating
A paid shaping engagement of one to two weeks. We map the real constraints, talk to the people who will use the thing, and produce a scoped plan with a fixed quote. You keep that document regardless of what you decide next.
- 02
Build the unglamorous layer first
Data model, authentication, deployment pipeline and observability go in before features. These are precisely the shortcuts that force a rewrite eighteen months later, and they are cheap now and expensive then.
- 03
Ship in weeks, not quarters
Working software in your hands every week, deployed to a real environment. Nothing accumulates behind a curtain until a demo day, because that is how a project discovers three months late that it built the wrong thing.
- 04
Hand it over properly
Documentation, architecture decision records, runbooks and working sessions with your engineers. The measure of the engagement is whether your team can carry it forward without us.
Start with a two-week
shaping engagement.
We map your real constraints, talk to the people who will use the system, and produce a scoped plan, an architecture direction and a fixed quote. It is paid, and it is deliberately small.
You keep that document whether or not you build with us. Most engagements start here. Some end here, and that is a fair outcome — a plan you can take to another firm is still worth what you paid for it.
What you walk away with
- A scoped plan, phased by value rather than by module
- An architecture direction, in language you can approve without an interpreter
- A fixed quote against a scope that is actually buildable
- The risks we found, including the ones that change the plan
- An honest answer on whether to build at all
Built to scale.
Built to pass review.
Two claims every firm makes and few can substantiate. Here is exactly what we mean by each, in terms you can hold us to.
Not a functional app handed over
A working demo is the easy part. What decides whether the build was worth it is what happens at a hundred times the data, with four teams editing the same records, two years after the person who wrote it left. We engineer for that case from the first schema.
- Data model sized against projected volume, not today's row count
- Slow and third-party work kept off the request path, in durable queues
- Indexing, pagination and caching planned before they are urgent
- Load-tested against your projected peak before launch — you get the numbers
- Horizontal scaling path documented, not assumed
Designed in, not retrofitted
Access control, audit history and retention are cheap to build and brutally expensive to add later, because retrofitting them means rebuilding the write path. We establish what applies to you in week one and design around it.
- Role-based access enforced server-side, per field where it matters
- Append-only audit history: who changed what, when, and from where
- PII classified, encrypted, and retained only as long as permitted
- Data residency honoured where law or contract requires it
- On-premise deployment where the data cannot leave your own hardware
- Evidence packs an auditor accepts, produced by the build itself
Where the constraints
are the product.
Strongest where physical assets, a field workforce on cheap Android phones, and money moving in cash or deposits all meet — and where the business runs on WhatsApp groups and spreadsheets today. Each page names what we can build.
- 01
Logistics & Transport
Fleet telematics, dispatch, route optimisation and proof of delivery, built for operators running real vehicles on real roads.
- 02
Manufacturing
The business systems around production — planning, inventory, procurement, maintenance and traceability — built to your process, not a suite's.
- 03
Retail & E-commerce
Headless commerce, omnichannel inventory and forecasting for retailers who have outgrown the platform they started on.
- 04
Construction & Real Estate
Project cost control, procurement, subcontractor management and asset registers — for businesses where margin leaks quietly across dozens of sites.
- 05
Healthcare Ops
The systems around care delivery — inventory, procurement, equipment and maintenance. Not EMR, not clinical records, not claims.
- 06Discuss your requirements →
Your industry
Have unique domain constraints or workflows not listed here? We build bespoke systems tailored to your specific process.
What we are
accountable for.
Not a logo wall of everything we have heard of. These are the tools we run in production and will answer for at three in the morning.
Asked before
every engagement.
What services does Flowstate Technologies LLP provide?
Custom software development, ERP and procurement systems built from scratch, HRMS and HR platforms, custom CRM, asset management software, fleet tracking and telematics, AI agents and agentic workflows, AI process automation, LLM and document intelligence, web applications, iOS and Android apps, data engineering, cloud and DevOps, on-premise and bare-metal infrastructure, MVPs for startups, codebase audits and modernisation, and technical consulting.
Do you work with companies outside India?
Yes. We deliver remotely across India, United States, United Kingdom, United Arab Emirates and elsewhere, with working hours overlapping your team's day and a named engineer accountable for the engagement.
How do engagements usually start?
With a paid discovery or shaping engagement of one to two weeks. It produces a scoped plan, an architecture direction and a fixed quote. You own that output whether or not you continue with us.
Who owns the code you write?
You do, from the first commit. We work in your repository or transfer ours at the first milestone. No licensing conditions, no proprietary runtime, no lock-in.
Do you build machine learning or computer vision systems?
No, and we would rather say so than take the work. We build applications on models that already exist — hosted APIs or open-weight models we run for you — for document extraction, retrieval, search and agentic workflows. Training foundation models, computer vision and bespoke predictive modelling are a different discipline, and we will point you to a specialist.
Do you implement SAP, Oracle or other packaged ERP suites?
No. We build ERP and procurement software from scratch, in your repository, on open technology. We do not write ABAP, configure packaged suites or resell licences — and if that is genuinely what you need, we will tell you on the first call and point you to a specialist. We do integrate with those systems where one is staying in place.
What does "built to scale" mean in practice?
Three specific things, not an adjective. The data model is sized against your projected volume rather than today's. Slow and third-party work is kept off the request path so one dependency cannot stall the system. And we load-test against your expected peak before launch and hand you the numbers.
Can you deploy on our own servers instead of a cloud?
Yes. On-premise and bare-metal infrastructure is a practice of its own, not an exception we make. Kubernetes or Docker Swarm on your hardware, Ansible provisioning so every host is reproducible, HAProxy and Nginx at the edge, Argo CD or Jenkins pipelines, and a self-hosted Prometheus, Grafana, Loki, Sentry and PostHog stack so telemetry never leaves your network. We also work in segmented and air-gapped environments.
How do you handle compliance while building?
As build constraints rather than a phase at the end. We establish what applies early — data protection law in your jurisdictions, sector rules, client contractual terms — then design access control, audit history, retention, residency and encryption around them. The evidence an auditor asks for falls out of the build instead of being reconstructed afterwards.
Can you take over a project another team started?
Frequently, and it is a practice of its own. We begin with a two-week audit that maps the architecture, quantifies risk and produces a sequenced plan before anyone touches the code.
Tell us what you are building.
A short conversation is usually enough to tell whether we are the right firm for the problem. If we are not, we will say so and point you somewhere better.