Softechinfra

Modernise Your App with AI

For teams whose web or mobile app needs AI features grafted in without rebuilding from zero. Production AI in your live app in 12 weeks — no 9-month rebuild — with the running system protected at every milestone.

Key Features

  • Production AI in your live app in 12 weeks
  • Three flavours: AI search · AI summarisation · AI agents & automations
  • Runs on your existing stack — web, mobile, or both
  • Running system protected: feature-flagged rollout, no big-bang rewrite
  • AI Sprint entry point: 4 weeks to scope the integration
  • Milestone billing 30/40/30 with 30-day post-launch support
  • Written DPA and your-infra-your-keys data handling on request

The cleanest proof is our own: TalkDrill is a spoken-English app we modernised with a real-time voice AI pipeline — ASR, LLM, TTS, session state — now serving 50,000+ users at 4.9★. No rebuild from zero. The stack you have is the stack we build on.

A Modernisation engagement is 12 weeks, scoped to one or two AI flavours at proposal: AI search (semantic retrieval over what is already in your database), AI summarisation (long content compressed to the decision the user needs), or AI agents and automations (multi-step work completed inside your existing tool — not a chat window pasted in the corner).

Want to scope first? Start with an AI Sprint, 4 weeks, on the riskiest integration question.

Why Choose Us

Benefits of Our Modernise Your App with AI

No rebuild required

From-scratch rebuilds run 6–9 months. Grafting AI onto the app you already run takes half the time and none of the teardown risk.

We modernised our own product first

TalkDrill: a live voice AI pipeline (ASR · LLM · TTS) on a production ed-tech stack, now at 50,000+ users / 4.9★. The pattern transfers.

Agents that act, not chat

Workflow agents that complete multi-step tasks inside your existing tool — reading the lead, drafting the outreach, logging the activity.

Stack-fit qualified on the first call

We ask for your current stack before proposing anything. If the fit is wrong, we say so on the call — that saves both sides a week.

Technology Stack

Technologies We Use

We leverage the latest technologies and frameworks to deliver robust, scalable solutions.

Claude & GPT-class LLMsVector search (pgvector / Pinecone)n8nReact / Next.jsReact NativeNode.jsPythonYour existing stack
Our Process

How We Work

Our proven process ensures successful project delivery every time.

1

Stack review & flavour pick (weeks 1–2)

We map your architecture, pick one or two AI flavours, and fix the price. Your codebase is read under NDA before we quote.

2

Integration prototype (weeks 3–5)

The AI feature runs against your real data behind a flag. Accuracy and latency baselines are reported weekly.

3

Production hardening (weeks 6–10)

Evals, fallbacks, cost controls, and observability. The existing product keeps shipping the whole time.

4

Rollout + support (weeks 11–12)

Staged rollout to your users, instrumentation, handover, and 30 days of included support.

FAQ

Frequently Asked Questions

No — that is the point of this service. Full rebuilds are a different engagement (Ship AI Products). Modernisation grafts AI onto the stack you already run, feature-flagged so the running system is protected at every milestone.
The three we scope at proposal: semantic search over your existing data, summarisation of long content your users already read, and agents that complete multi-step tasks inside your current workflows. Most teams pick one to start.
Your infra, your keys, no public-API leakage by default, written DPA on request. The full policy is on our How-we-work page.
It depends on scope. Modernisation runs 12 weeks, milestone-billed 30/40/30. If you want to de-risk first, the AI Sprint (4 weeks) scopes the integration and gives you a working prototype of the riskiest piece.

Ready to Get Started with Modernise Your App with AI?

Let's discuss your project and find the perfect solution for your business needs.