AI-Assisted Software Development

AI-Assisted Software Development, Engineered for Production

Whether you're starting from scratch or picking a paused build back up, senior engineers own the architecture, security, and database decisions AI tools shouldn't be making alone.

11+ Years in Software & AI Engineering · 105+ Team Members · ISO 9001:2015 Certified

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Our Clients

Our customers say Excellent 4.7 out of 5 based on reviews

Strategic Development

Ship Faster With AI — Engineered So It Doesn't Stall

Purpose-Built Speed

You can build product this way on purpose, not as a fallback: skip the months of search for a technical co-founder or developers, and use agentic AI tools to get a real build moving in weeks. Put what you save toward runway instead of payroll.

Real-World Proof

Rapido's founder did exactly that — a freight-comparison platform built from scratch using AI assisted software, AI-accelerated, delivered in 4 months on a fixed cost. Going fast and spending less was the actual goal, not a compromise.

Investor & Code Scrutiny

Investors are increasingly looking at your code directly before they wire a check — pulling up commit history to see who actually wrote what, and checking whether the pieces holding user logins and payment data together were built to hold up, not just glancing at a demo. Most AI-generated apps hit the same wall around the same point, whether built fast on purpose or picked up after stalling: the demo works, but the parts a non-technical founder can't check — how the database is set up, who can reach an admin page, what happens at the edge cases — are exactly where they stall. That gap doesn't close on its own. It grows every day the codebase keeps building on top of it, unsupervised.

The Production Fix

The fix isn't slowing down. It's a senior engineer owning the architecture, security, and database decisions from day one — so the result is a production-ready app built with AI, not just demo-ready, whether you're building fast from scratch or finishing a build that paused halfway.

Proven Track Record

What We've Built

Rapido Platform

Rapido's freight-comparison platform was built by TechAvidus end-to-end — a vibe coding platform Lovable-based build with senior engineers reviewing at every stage, not left to the AI session alone. Delivered on a fixed-cost, 4-month engagement in 2026, and now carries a 4.5/5, verified client review.

Intellect Bay Marketplace

Intellect Bay's academic recruitment marketplace Phase 1 was built with vibe coding and didn't stop at launch. TechAvidus built the platform, and when the founder came back months later wanting an integration of AI inside a platform, the same team picked it up without a re-onboarding cycle.

"They were very responsive and the quality of the work was good — always receptive to feedback and responsive to our concerns. I'd happily recommend them, especially Megha as the Project Manager and Savan as the Developer."

Marcos Queiroz

Director, Rapido

"They were always open to suggestions and felt like a development partner rather than just a vendor. Even months after launch, when we came back with a major feature update driven by the latest AI capabilities, they were quick to jump in."

Nathan

Founder, Intellect Bay

Engineering Expertise & Oversight

We Know Exactly Where Vibe-Coded Builds Break

You want an engineer-reviewed AI coding company — engineers who decide where your data lives, who can reach an admin route, and whether your database schema holds up past the first hundred users, while agentic development tools like Lovable, Cursor, and Claude Code handle the parts that don't need a human making every keystroke. That's supervised AI development in practice, not a slogan.

That oversight is specific, not generic. We know where Lovable/Supabase builds tend to leave row-level security misconfigured, where a Replit Agent build skips operational safety checks it should have made, and where Base44-generated infrastructure carries vulnerabilities that don't show up in a demo. That's the difference between reviewing AI-assisted coding output and knowing exactly where it tends to fail.

11 Years, Zero Surprises

11+ Years in Software & AI Engineering · 105+ Team Members · ISO 9001:2015 Certified. Outcomes are owned here, not billed by the hour — and the engineer who starts your build is still the one answering questions about it later. 90% of our team stays year over year.

See the Work

Rapido and Intellect Bay — named clients, live in production, both willing to talk to you directly if you want a reference. ★★★★★ 4.8/5 Upwork · Top Rated Plus · ★★★★★ 4.7/5 Google — the same team building your product. Official Lovable Partner.

How You're Actually Charged

Fixed-cost engagement (most common) or time-and-materials with a not-to-exceed ceiling — never open-ended hours. A free discovery and scoping conversation before you see a quote. Clear, scoped deliverables — not a rolling list of "additional work." No lock-in beyond the engagement you scoped.

Target Audience & Verticals

Who We Build For

Core Focus

Funded and Self-Funded Product Startups

Pre-seed through Series A/B, any industry — this is the core of who we build for, whether you're self-funding a first build or working with investor money and an investor's questions. Rapido (logistics) and Intellect Bay (recruitment) are two different industries built the same way: senior engineers owning the parts an AI tool can't be trusted to own alone.

Service Offerings & Delivery Standards

What AI-Assisted Software Development Looks Like Here

Whether you're starting a build from scratch or picking up an AI-generated prototype that's most of the way there, the same senior-engineering standard applies to AI MVP development services here — engineers own every real decision, not the AI session. Some people call this AI native software development services; we just call it engineering with AI tools in the loop.

New-Build AI-Assisted Development

A product built from scratch using agentic development tools, with senior engineers owning every architecture and infrastructure decision along the way.

Architecture and database design, decided by engineers before a line of AI-generated code ships
Auth, payments, and third-party integrations reviewed for production readiness, not just "it works in the demo"
Full build cycle from discovery through launch, on the stack that fits your product — not whichever tool happened to scaffold the first version

Built with Lovable, Claude Code, Cursor, and GitHub Copilot for day-to-day velocity, with senior engineering review at every architecture, security, and database checkpoint.

When the Code Isn't Broken, Just Unfinished

Picking up a build that stalled for business reasons — a developer left, budget paused, priorities shifted — where the code itself works, it's just not finished.

A codebase review before any new work starts, so you know what you're actually inheriting
Continuation of the existing stack and architecture where it holds up, correction where it doesn't
The same senior-engineering-oversight standard applied going forward, regardless of how the first pass was built

You walk away with a finished product — no costly restart — and a written answer on exactly what was salvageable and what wasn't.

The Review Layer Underneath Both

The senior-engineering layer that runs underneath both build types above — not a separate add-on service.

Database schema and query design reviewed for how it holds up past the first hundred users, not just the demo dataset
Auth and access-control review specific to the AI-build tool that generated the first pass
A written record of what was reviewed and what changed, so the answer to "who checked this" is documented, not assumed

When an investor or a new hire asks a technical question about this codebase, the answer is already on file.

Architecture & Tools

Technology Stack

Languages / Frameworks

React, Next.js, Angular, Java Spring Boot, Python, ASP.NET Core

Styling

Tailwind CSS

Database / API

Supabase (Postgres), MySQL, PostgreSQL, MS SQL, GraphQL

Auth

JWT / Spring Security

Payments

Stripe, Paddle, Razorpay

AI Build Tools

Lovable, Claude Code, Replit, Base44, Codex, Bolt.new, Cursor, GitHub Copilot, v0 by Vercel, Figma AI, Windsurf

Workflow & Delivery Pipeline

What Happens After You Say Yes

STEP 01

Free Discovery & Scoping Call

You walk us through what exists today — a blank slate, a paused build, or an AI-generated first pass — and what you need to be able to show next: a working product, an investor-ready codebase, or both. You decide the engagement type before any work starts: fixed-cost or time-and-materials with a ceiling.

STEP 02

Architecture & Stack Review

Before any build work begins, senior engineers document the architecture, database design, and auth approach — inheriting what already works if you have a partial build, deciding fresh if you don't. You approve this before development starts, the same discipline that got Intellect Bay's five-role marketplace and Rapido's freight platform both built without a rework cycle later.

STEP 03

Build Sprints with Review Gates

Development runs in sprints, with AI tools accelerating the work engineers are directing — not the other way around. Each sprint ends with something you can see running, and you sign off before the next one starts.

STEP 04

Security & Database Checkpoint

Before launch, we run a dedicated review of auth, access control, and database configuration against the specific failure patterns of the AI-build tool involved — the RLS misconfigurations Lovable/Supabase builds tend to carry, the safety gaps in Replit Agent output, the infrastructure issues Base44 builds can leave behind. You get the findings in writing, not a verbal "looks fine."

STEP 05

Production Launch

The build goes live with documentation covering what was built and why — the same standard behind Rapido's 4-month, fixed-cost delivery. That's the AI app builder to real developer handoff done right: documented as it happens, not reconstructed after the fact. You get a codebase your own team, or your next hire, can pick up without reverse-engineering it first.

STEP 06

Ongoing Support

Post-launch, you decide whether to extend the engagement. Intellect Bay came back months after their initial launch for an AI-driven feature update, and the same team that built the platform picked it up — no re-onboarding, no lost context.

Investment & Engagement Structure

What This Costs

Pricing Philosophy

Scope varies too much — a greenfield build versus continuing someone else's paused work, product complexity, regulated-industry scoping — to quote one number honestly before we've talked. We price for the outcome and the ownership you get, not hours logged.

How Pricing Is Structured

Most engagements run fixed-cost. Where scope is likely to shift — an ongoing continuation, or a build with real unknowns — we use time-and-materials with a not-to-exceed ceiling, so you're never staring at an open-ended bill.

What Drives Cost

Whether it's a new build or a continuation of existing AI-generated work
Product complexity and the number of integrations (auth, payments, third-party APIs)
Regulated-industry scoping, when healthcare or fintech is involved

What's Included & Duration

What's Included: Discovery and scoping conversation, senior engineering review of architecture, security, and database decisions at every stage, and production-readiness work through launch.

Engagement Duration: Rapido's build ran 4 months, fixed cost — a real data point, not a promise about your timeline. Duration depends on whether you're starting fresh or continuing existing work, and how much of the product is already built.

Proven Outcomes & Case Studies

AI-Assisted Software Development, Proven With Real Results

Rapido — Logistics / Freight SaaS

TechAvidus built the freight-comparison platform end-to-end on a fixed-cost, 4-month engagement — now holding a 4.5/5, DesignRush-verified client review.

Service: AI-Assisted Software Development Read Full Story

Intellect Bay — Academic Recruitment Marketplace

TechAvidus built the five-role platform, then returned months later to add an AI-driven feature the founder requested — same team, no re-onboarding.

Service: AI-Assisted Software Development Read Full Story

Got Questions? We've Got Answers

Frequently Asked Questions

Timeline depends on whether you're continuing existing work or starting fresh, and on the product's complexity. Rapido's build, a full freight-comparison platform, ran 4 months on a fixed-cost engagement. A continuation of an existing AI-generated build can move faster once the codebase review is done and the remaining scope is clear.

The first 30 days cover the discovery and scoping call, the architecture and stack review, and the start of build sprints. If you're continuing a paused build, that window also includes the codebase review that tells you what's salvageable before any new development starts.

Most engagements run fixed-cost, scoped after a free discovery call. Where scope is likely to shift — an ongoing continuation or a build with real unknowns — we use time-and-materials with a not-to-exceed ceiling, so cost never runs open-ended.

Whether it's a new build or a continuation, the product's complexity, and the number of integrations — auth, payments, third-party APIs — are the main cost drivers. Regulated-industry scoping (healthcare, fintech) adds its own review requirements. Engagements typically start from $5,000, scaling with scope.

The senior engineers who scope your architecture at the start are the same engineers building it through launch — 90% of our team stays year over year, so the person who learns your codebase in week one is still answering your questions at handoff.

Onboarding starts with a codebase review — what's built, what holds up, what needs correction — before any new work is scoped. You get that assessment in writing, so the plan going forward is based on what's actually there, not an assumption.

Those tools are genuinely good at getting you to a working-looking demo — that's not in question. Where DIY builds stall is the part after the demo: architecture decisions, database design, auth and access control, and the edge cases that only surface under real users — the areas a non-technical founder usually can't self-assess. That's the gap senior engineering review closes, whether you're building from scratch or picking up where an AI tool left off.

It's safe when the agency's engineers review the architecture, security, and database decisions your AI tool already made — not just add features on top of them blind. That's the real difference between a vibe coding agency that inherits your codebase without checking it first and one that audits it before touching a line of new code. We do that codebase review up front and hand you the assessment in writing before you commit to anything further.

That depends on why the build stalled, not how it looks. If the code is failing — broken auth, security gaps, something not working in production — that's Vibe Coding Rescue. If the code is fine and the build paused for a business reason — a developer left, budget paused, priorities shifted — that's this service. We'll ask directly on the discovery call rather than guess from how you describe it.

No. Engagements run fixed-cost or time-and-materials with a ceiling, scoped to the build in front of us — there's no lock-in beyond what you've agreed to for that engagement.

We commit to a defined scope, milestone visibility, and transparency on progress — not a blanket outcome guarantee, since real timelines depend on what we find once we're in the codebase or the build begins. What we do guarantee is that you'll know where things stand at every stage, not just at the end.

We build and review to that standard from the start — architecture, security, and database decisions documented as they're made, not reconstructed after the fact when a due-diligence request lands. That's the same review discipline behind every engagement, whether or not a raise is already on the calendar.

On a scoped, first-phase basis — yes. We're not claiming specialization in regulated industries, and we don't have published delivery proof there yet, so that conversation starts with an honest scope discussion before anything's committed.

Start with a codebase review, not a rebuild. We look at what your AI tool actually generated — architecture, auth, database design — and tell you what holds up and what needs engineering attention before you build anything new on top of it. That review is free, and it's the same first step whether you're starting fresh or picking up an existing AI-built prototype.

Yes. If a developer left, budget paused, or priorities shifted before the app was finished — and the code itself isn't broken — we pick it up from there. You get a codebase review first, so you know exactly what you're inheriting, then the same senior-engineering standard applied through launch.

Ready to Begin?

Ready to Hand Off a Build an Investor, a User, or Your Next Hire Can Trust?

No fixed-rate card, no vague "AI is risky" hand-waving — just an honest scoping conversation about what your build actually needs.

We'll show you exactly what your build needs to reach production, and what happens at every stage along the way.

Book Your Free Discovery & Scoping Call

ISO 9001:2015 Certified · 11+ Years in Software & AI Engineering · 92% Client Satisfaction Rate

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100+

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10+

Years of Experience

300+

Projects Delivered

250+

Appreciative Reviews

92%

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Agile Development Process

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