Thoughtful engineering. Practical AI.
We turn the complicated parts of your business into software that just makes sense.
The pieces start to connect.
Strategy, interfaces, and the systems behind them.
One considered path from idea to working product.
01 / The point of it all
A team working around its tools. A service ready to become a product. A good idea looking for a way into the world.
That’s where we come in. We listen, find the important connections, and build the software around them.
02 / What we bring
The visible experience. The invisible engineering. We bring both sides together.
How we bring it togetherDesign & interfaces
From the first click to the everyday workflow. We shape websites, customer portals, and product interfaces around what people actually need to do.
Research the journey → Design the interface → Build for every screen
React · Next.js · TypeScriptApplications & SaaS
Your rules, your people, your way of working. We build the data, permissions, APIs, and payment flows that turn an interface into a serious product.
Map the rules → Connect the data → Build the product
Python · Django · PostgreSQLIntegrations, AI & automation
Connect tools that don’t talk. Simplify recurring work. We combine thoughtful software engineering with practical AI where it helps. Every solution starts with the problem, not the technology.
Find the friction → Connect the tools → Check the result
REST APIs · LLM integrations · Celery · RedisDeployment & ongoing care
Getting online is a beginning. We plan releases, check the critical workflows, document the system, and agree on the support it needs after launch.
Verify the release → Deploy safely → Keep improving
Docker · AWS · nginx02 / AI-driven development
Behind each of these services is the same approach. We develop software with AI tools as part of our everyday workflow. From the first prototype to the final review, we bring the context, judgment, and care that turn code into a working product.
01 / Understand
We listen to how your team works, what your customers need, and what the software must do. That understanding guides the design, the architecture, and the tools we use.
02 / Engineer
AI-assisted development
AI is part of how we build: prototyping, coding, testing, and debugging. We review its suggestions and take responsibility for the software we deliver.
AI-powered products
When your product needs AI of its own, we integrate models and APIs for features such as conversational interfaces, contextual search, document processing, and workflow automation.
03 / Validate
We review the code, test the important workflows, and check security and data handling before release. For AI-powered features, we also evaluate outputs, edge cases, and where people need to stay involved.
AI supports the work. Design decisions, code review, testing, and accountability remain our responsibility.
Explore the work, in context03 / The work, in context
A closer look at the business behind the screen—and the thinking that connects the two.
01 / Coaching / Web platform
The plan is only
the beginning.
A coach sets the direction. An athlete does the work. The software needs to keep them connected.
Ongoing client project
01 / The starting point
A coach needs to assign training; an athlete needs to record what actually happened. A plan alone cannot tell the whole story. Programs, sets, repetitions, and progress have to connect.
02 / Our thinking
A trainer plans at a desk. An athlete logs a workout on a phone. We shaped separate workspaces around those moments, with role-specific access and real-time session updates connecting them.
03 / Taking shape
We’re developing a desktop coaching workspace and a mobile-first workout logger, backed by Django Channels, PostgreSQL, and Redis. Assigned programs and recorded performance belong in the same conversation.
04 / Where things stand
This is an ongoing client project. The intended result is a shared coach–athlete workflow, with less distance between the training plan and the record of each session. Measured post-launch results are not yet available.
02 / Legal operations / Custom software
Every case has
a bigger picture.
Hearings, work logs, and money all tell part of a case’s story. We’re bringing those parts together.
Ongoing client project
01 / The starting point
The firm managed case records and financial information in Google Sheets. The challenge was to connect the progress of a case with its hearings, work logs, and financial position.
02 / Our thinking
Agreed fees, received payments, and spending need distinct records. Staff need restricted access. External submissions need a separate route. We designed around those boundaries before bringing the information together.
03 / Taking shape
We’re developing a centralized application for case activity, hearing updates, work logs, and financial reconciliation. Django and PostgreSQL own the records; Google OAuth supports staff sign-in.
04 / Where things stand
The application is still an ongoing client project. It is designed to let staff follow case history and its finances together. The public site shown here is a related website, not a demonstration of the private system.
04 / Curiosity, made tangible
Building our own products keeps us close to the questions our clients face. What matters? What belongs? What happens next?
Many businesses.
Each their own.
Billing for multiple businesses, with a clear boundary around each one’s data. Tenant-specific PostgreSQL schemas, Razorpay payments, and generated invoices bring the workflow together.
The central decision: separate each tenant’s records at the database schema level. A Next.js interface and Django API connect that data to payments, invoices, and receipts.
A thought, spoken.
A thought, captured.
A menu bar app exploring on-device speech transcription and translation. The work focuses on system audio capture and a native workflow close to where you’re already thinking.
Talk about Lazy Bee05 / The people behind the build
RNA Tech brings product thinking, interface design, and full-stack engineering into one working relationship.
We work across web applications, backend systems, and deployment. Our client practice is newer than our engineering experience. We’re open about what’s in progress and clear about what we can take on.
You bring the context. We bring the questions, the technical thinking, and the care to see the work through.
How the next chapter gets made
Understand the people, business rules, and constraints. Agree on scope and what a useful first release looks like.
Review working software together at agreed checkpoints. Make tradeoffs visible and discuss changes before they change the scope.
Check critical workflows, plan deployment and rollback, and hand over access and documentation. Agree on the support that follows.
06 / The story continues
A stubborn workflow. An ambitious product. A useful role for AI. Tell us what you’d like to build or improve.
Start a conversation [email protected]