AI-Native Software Delivery Platform

The AI Software Delivery Platform. Idea to Production.

Describe your product in a paragraph. VrittOS turns it into a BRD, design mockups, Jira-ready user stories, AI-generated code on GitHub pull requests, self-healing tests — and a live app on your own hosting, with you approving every step.

Plan with AI Build with AI Ship with Confidence
60+
ideas turned into projects
190+
pull requests opened
180+
user stories shipped
5 min
median story to pull request

Idea → BRD → Mockups → Stories → Pull Request → Tested Release

Integrations are part of the process — code ships to GitHub, your backlog syncs to Jira, and your app goes live on Vercel, Netlify, Railway, Render or Appetize

GitHub Jira Slack Teams Vercel Netlify Railway Render Appetize View all integrations
Why VrittOS?

Build Better Software with AI at Every Step

VrittOS brings AI into every phase of the software development lifecycle—so your team can move faster, with clarity and confidence.

AI-Powered Planning

Turn ideas and requirements into structured plans, epics, and user stories in minutes.

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Intelligent Execution

AI agents help implement, refactor, and review code with best practices.

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Workflow Orchestration

Automate tasks, approvals, and handoffs across your entire SDLC.

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Quality by Design

AI-generated tests, code reviews, and security checks built in from the start.

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📊

Insights & Analytics

Real-time visibility into team performance, delivery metrics, and bottlenecks.

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End-to-End SDLC Orchestration

From Requirements to Code: One Platform, Every Step

AI code generation from requirements, end to end: BRD to user stories, stories to GitHub pull requests, tests to release.

💡

1. Ideate & Plan

Capture ideas, create BRD, and generate plans with AI.

📋

2. Requirements

Convert to epics, stories, and acceptance criteria.

3. Build

AI-assisted coding, commits, and pull requests.

🧪

4. Test

AI-generated tests, automated validations.

🚀

5. Deploy

Automated deployments with guardrails.

📈

6. Monitor

Real-time monitoring and continuous feedback.

Jira GitHub GitLab Slack aws AWS Docker Kubernetes and more…
Reliability

Generating code is the easy part

The hard part is the hour after: a branch that went stale, a build that broke on a lockfile, a story that failed at 2am. VrittOS is built around those hours, because that is where AI delivery normally stops being useful.

The checks are green — but for code that has moved on
A pull request that passed CI before its base branch changed is not merged on that result. VrittOS refreshes the branch, waits for the checks to run again, and merges on a green tick that describes the code actually going in.
Someone else’s story merges while yours is in review
Stories are implemented in parallel, so branches go stale constantly. Open pull requests are brought up to date against the new main and re-checked automatically, instead of waiting for a human to notice the conflict.
A story fails partway through implementation
It is retried, and if it fails again you get a fix run with a readable account of what broke and what it proposes — not a dead card sitting in your backlog until you chase it.
The build breaks on a lockfile or a mismatched CI file
Dependency lockfiles are repaired in place, and the CI workflow is generated against the repository tree that actually exists rather than the one that was planned before any code was written.
Something is wrong with the delivered app
Report it from inside VrittOS. It is triaged, turned into work, and implemented on a fresh branch as a pull request you review — the same path as every other change.
The deploy failed — or went live but the site is wrong
The publish panel shows what actually happened, with a Fix it for me button on the failure itself: the AI investigates, fixes the root cause in your code, and opens a pull request — merging it redeploys. Live but wrong? Describe the problem in a sentence and get the same treatment.
It is still stuck after all of that
Ask for a person. One click hands the story to our team with the whole diagnostic picture already attached — what failed, how many times, and the error — so you never have to explain your own bug back to us. Free, on every plan.

And when the fault is ours, you don't pay for it

AI work is metered in credits, so the fair question is what happens when our agents burn yours going in circles. VrittOS watches its own delivery pipeline: it detects the loop, stops the run before it spends more, works out exactly what the failure cost you, and emails us to put those credits back. You don't have to notice it, prove it, or open a ticket.

Built with VrittOS

A real storefront, shipped by agents

A founder described a fragrance boutique — no wireframes, no stack chosen, no code written. VrittOS designed it, planned it, and delivered 41 user stories as reviewed pull requests.

41
user stories shipped
41
pull requests merged
10
epics, scaffolding to checkout
The Maison Aura storefront home page, built with VrittOS.

Maison Aura — Fragrance e-commerce, built and operated by a VrittOS customer.

What people say

Early Voices on VrittOS

Perspectives from the strategists, engineers, and product leaders who have looked closely at how VrittOS approaches agentic AI.

VrittOS represents a practical shift in how businesses can use AI—not simply as a tool, but as an intelligent layer that can coordinate work and drive outcomes. What stands out to me is the vision of bringing agents, workflows and business context together into one operating environment. It has the potential to fundamentally change how teams approach automation.
Shashank SharmaCo-Founder & Strategic Visionary
The real value of enterprise AI comes when it can understand context, interact with systems and take meaningful action. VrittOS is moving in exactly that direction. Its approach to combining AI agents with structured workflows provides an interesting foundation for applying agentic AI to complex, real-world business processes.
Anil SharmaAI Consultant & Product Analyst
What I find compelling about VrittOS is its focus on outcomes rather than individual AI interactions. From a product and quality perspective, AI becomes far more valuable when it can operate within defined workflows, maintain context and work within clear controls. VrittOS brings those ideas together in a way that feels relevant to how businesses will actually adopt agentic AI.
Nick HarmanHead of Product & Quality Assurance
Pricing

Plans that scale with your build

Start with a 14-day free trial. Every plan includes AI planning, documentation, and delivery — pick the size that fits your team.

Founding offer

50% off your first 3 months — applied automatically at checkout. Ends 31 October 2026.

Builder

Solo founders, indie hackers, technical PMs, small MVP teams.

£29/month

Need more? Top-ups from £12 per 100 credits.

Start free trial
  • 300 AI credits / month
  • 2 projects
  • 2 team members
  • AI product docs & PRDs
  • Epics & user stories
  • Jira sync
  • AI code via GitHub PRs
  • One-click deploys (Vercel, Netlify & more)
Most popular

Startup

Where teams start replacing delivery coordinators & sprint admin.

£99/month

Need more? Top-ups from £12 per 100 credits.

Start free trial
  • 1,000 AI credits / month
  • 10 projects
  • 5 team members
  • AI product docs & PRDs
  • Epics & user stories
  • Jira sync
  • AI code via GitHub PRs
  • Team collaboration
  • Approval workflows
  • Traceability dashboard
  • Slack & Teams integration
  • One-click deploys (Vercel, Netlify & more)
  • Deploy to your own Azure / AWS / GCP

Growth

Scaling SaaS companies, agencies, internal engineering platforms.

£399/month

Need more? Top-ups from £12 per 100 credits.

Start free trial
  • 5,000 AI credits / month
  • Unlimited projects
  • 15 team members
  • AI product docs & PRDs
  • Epics & user stories
  • Jira sync
  • AI code via GitHub PRs
  • Team collaboration
  • Approval workflows
  • Traceability dashboard
  • Multi-project orchestration
  • Audit logs
  • Slack & Teams integration
  • App preview & illustrated user guide
  • One-click deploys (Vercel, Netlify & more)
  • Deploy to your own Azure / AWS / GCP

Need SSO, custom limits, or a security review? Talk to us about Enterprise.

FAQ

Frequently asked questions

What is VrittOS?

VrittOS is an AI software delivery platform that takes a product idea through the whole lifecycle: brainstorming, a business requirements document (BRD), design mockups, epics and user stories, AI-generated code delivered as GitHub pull requests, AI-generated tests with a self-healing fix loop, and release documentation. You approve every stage; AI does the heavy lifting.

How does AI code generation from requirements work?

Once you approve the backlog, developer agents implement each user story on a feature branch in your connected GitHub repository and open a pull request — never a direct push to main. The PR includes the implementation, generated tests, test results, and a summary. Your team reviews and merges like any other PR, and your CI runs on it.

Does VrittOS replace developers?

No. VrittOS removes the repetitive delivery work — writing specs, decomposing backlogs, scaffolding, boilerplate implementation, test upkeep, release docs — while humans keep every decision: four approval gates (requirements, BRD, design, backlog) plus code review on every pull request. Small teams ship like bigger ones; nobody merges code unseen.

How do the Jira and GitHub integrations work?

GitHub is required for code generation: you connect a repository and all code arrives as pull requests there. Jira is optional: approved epics and stories are created in your Jira project with acceptance criteria, priorities, and status sync. Both use scoped OAuth tokens you can revoke at any time.

What are credits and what do the plans include?

Credits meter AI work — for example generating the story backlog or implementing a story as a pull request each costs a fixed number of credits. Builder (£29/month) includes 300 credits, Startup (£99/month) includes 1,000, and Growth (£399/month) includes 5,000, alongside project and team-seat limits, and monthly project add-ons can raise your project cap any time. If you run out mid-month, top-up packs start at £12 for 100 credits (larger packs cost less per credit, down to £400 for 5,000) — you never need to change plan just to finish a story.

How does the 14-day free trial work?

Every new workspace starts with a 14-day free trial — no credit card required to begin. You can add a payment method during the trial so your subscription starts seamlessly when it ends; if you don’t, the workspace pauses and nothing is charged.

What are self-healing AI tests?

VrittOS generates unit and integration tests alongside every implemented story. When CI fails, a triage agent reads the actual failure and pushes a corrective commit to the same branch, then re-runs CI — a bounded loop that stops and asks a human if it can’t converge. Failures get fixed before merge instead of accumulating as QA debt.

Is my code and data secure? Is it used to train AI models?

Your code stays in your GitHub repositories, accessed with scoped tokens. Data is encrypted in transit and at rest on Microsoft Azure infrastructure. We do not train AI models on your code or data — model providers are used under terms that exclude training on API inputs. See our Security page for the full picture.

Can I cancel or change plans at any time?

Yes. Upgrades take effect immediately; you can cancel any time and keep access until the end of the paid period. Unused monthly credits don’t roll over, but top-up credits stay available.

What happens when the AI gets something wrong?

It gets picked up rather than left for you to find. A story that fails is retried, and if it fails again you get a fix run explaining what broke and what it proposes. Pull requests whose CI passed before the base branch moved are refreshed and re-checked before anything merges, so a green tick always describes the code that is actually going in. If something is wrong with the delivered app, you report it from inside VrittOS and it comes back as a pull request you review. And if a story is still stuck after all of that, one click hands it to a real person on our team, with the diagnostic detail already attached — free, on every plan.

What if a bug on your side burns my credits?

VrittOS monitors its own delivery pipeline for runs that loop or fail repeatedly. When it finds one it stops the run before it spends more, pauses the affected work, and calculates exactly what the failure cost you — and we return those credits. You do not have to notice it or ask.

Can VrittOS build mobile apps?

Yes, with Flutter — one codebase that ships to both iOS and Android. Design mockups are generated on a phone canvas rather than a desktop one, and the same delivery pipeline applies: stories, branches, tests and pull requests. Native-only Swift and Kotlin projects are not supported.

AI-Native. Human-Approved.
Production-Ready.

A team of specialised AI agents runs your delivery pipeline — you keep every decision that matters.

16
Specialised AI agents
Hours
From idea to first PR
4
Human approval gates
£29
Plans from, per month

Ready to transform your software delivery?

14-day free trial · No credit card required