Skip to content

Building scalable SaaS & AI products — MVP → Production → Scale

We don't just build your product. We've shipped our own.

Bracket Mind is a founder-led AI and SaaS development company. We build AI agents and automations that take real work off your team, RAG chatbots that cite their sources, and multi-tenant SaaS in Node.js, Python and .NET. Our own AI support product, Aidfolk, is live.

  • AI Agents
  • Automation
  • Coding Agents
  • Tools & Skills
  • MCP
  • Sandboxed Execution
  • RAG
  • AI Gateway
  • Azure FHIR / HIPAA-aware
  • FCA RegTech
  • Azure
  • AWS Bedrock
  • Node.js
  • Python
  • .NET
  • React
  • Next.js
  • Angular
years shipping software
10+
Upwork Job Success
100%
across 20 client reviews
5.0★
enterprise projects
30+

1.2M+

daily API requests

served at 99.9% uptime by microservices we architected

85%

manual work automated

AI automation saving one client about $120K a year

50K+

users on one dashboard

a Next.js SaaS delivered with 60% faster page loads

8+

countries served

US, UK, Canada, Norway, Belgium, New Zealand, Slovenia, India

already built

Proven features, ready for your product

Your project shouldn't start from zero. Each of these is already built into a real product — follow the link to see which one, and how. Need one? Ask about it, and you'll get a written scope and price before you commit to anything.

Need something that isn't here? Most products are a new combination of problems that are already solved. Tell us what you're building — replies within 0–4 hours, with an honest read on scope and timeline.

Get an estimate

ai agents

AI agents that do real work — safely

Most agent demos stop at a chatbot calling one tool. Ours run unattended in real systems: they load skills, call tools and MCP servers, run code in throwaway containers and stop to ask a person before anything risky, behind one AI gateway that records what every call costs. Every capability below links to where it's built.

anatomy of an agent run · illustrative

$ agent.run("Reconcile October's invoices")

  1. load_skill("invoice-rules")skill, loaded only when needed
  2. fetch_invoices(month: "2026-10")HTTP tool · address screened against SSRF
  3. execute_python(reconcile.py)fresh Docker sandbox · 1 CPU · 512 MB · no credentials
  4. erp_post_adjustments(3)MCP tool · paused until a person approves
  5. doneevery step streamed live · cost billed to the tenant

Have a task an agent should own? Describe it and we'll tell you what it takes to run it safely — tools, approvals, sandboxing and cost.

  • Tool-calling agents

    Agents on Microsoft Agent Framework that plan, call tools and act — running on whichever tool-calling model the task is routed to.

    Built in Shared AI Platform Backend
  • Agent skills

    Instructions a tenant writes once and the agent loads only when a task needs them, so new behavior ships without a deploy.

    Built in Shared AI Platform Backend
  • MCP integrations

    Plug in any Model Context Protocol server; its tools are discovered when a run starts, and a failing server is isolated instead of fatal.

    Built in Shared AI Platform Backend
  • Custom HTTP tools

    Tools defined as data — hostnames screened against SSRF, redirects refused, responses capped, and credentials encrypted at rest.

    Built in Shared AI Platform Backend
  • Human-in-the-loop approval

    Write actions and every MCP call pause the run until a person approves on the live stream. No answer within five minutes counts as no.

    Built in Shared AI Platform Backend
  • Sandboxed code execution

    The model writes Python or Node and it runs in a fresh Docker container — 1 CPU, 512 MB, 256 processes, non-root, no credentials inside — removed after the run.

    Built in Shared AI Platform Backend
  • A throwaway container per task

    Each task gets its own short-lived container on Azure Container Apps, scaled by KEDA from a Service Bus queue — holding no API keys, only a one-hour task token.

    Built in Autonomous Work-List Agent
  • One AI gateway for every product

    Model calls from several products go through one routing layer: admin-ranked models per task across eight provider types, capability checks, a general fallback, and failover to the next model on transient errors.

    Built in Shared AI Platform Backend
  • Cost reports and an ops dashboard

    Every paid call is logged with tokens, latency and cost. Reports split spend by product, user, model and task, and a dashboard shows AI spend, errors, job queues and abuse blocks. Estimates are marked as estimates.

    Built in Shared AI Platform Backend
  • Model prices checked daily

    Each model's configured rates are compared every day with published price lists, and a price history is kept, so a stale rate gets flagged instead of quietly skewing the reports.

    Built in Shared AI Platform Backend
  • RAG that cites its sources

    Hybrid vector and full-text search, optional reranking, and every answer linked back to the page it came from.

    Built in Aidfolk
  • Prompt-injection defense

    Document and file text treated as data, never as instructions — behind guardrails for injection, toxicity, credential probing and abusive IPs.

    Built in Shared AI Platform Backend
  • Per-call cost metering

    Every model call priced into a ledger and billed to the right tenant, so AI spend shows up per customer instead of as a surprise.

    Built in Aidfolk
  • Live agent timelines

    Thinking, tool calls and per-step progress streamed over SSE as they happen — a Claude-Code-style view your users can follow.

    Built in Community & Marketplace Platform

selected work

Real systems, built for production

Our own products are named. Client projects aren't, and that's deliberate: we don't publish who we build for. You get the architecture, the constraints and the outcome — and we'll walk you through any of it on a call.

AI Customer Support SaaSLive product

Aidfolk

AI customer support that answers from a business's own docs. Add your files, website and help pages, and get a chat agent for your site that cites where every answer came from — set up in the browser, no code. Our own product, running in production.

  • In production since October 2026
  • Every answer cites its source
  • 1,077 backend tests passing

Python 3.14 · FastAPI · PostgreSQL 18 + pgvector · Pydantic AI · Taskiq + Redis · React 19 · Next.js 16 · Cloudflare

Founder-built · Read the case study

Multi-Tenant AI BackendProduction

Shared AI Platform Backend

One production .NET backend running the AI features of four client products — a medical platform, a community platform and two storefronts — instead of four separate AI stacks.

  • One AI backend, four products
  • 8 provider types, routed per task
  • Risky tool calls wait for a human

Team project · Read the case study

Healthcare AI PlatformProduction

FHIR Telehealth Platform

A FHIR-native telehealth platform that fuses clinical records with an AI assistant grounded in each patient's history.

  • FHIR R4 on Azure Health Data Services
  • AI grounded in one patient's record
  • Every record access audit-logged

Team project · Read the case study

Autonomous AI AutomationProduction

Autonomous Work-List Agent

An AI agent that picks up assigned work-list tasks and completes the forms on its own — checking for new work every minute, with a person kept in the loop wherever it matters.

  • One throwaway container per task
  • No API keys inside the container
  • Never submits an incomplete form

Founder-built · Read the case study

RegTech · AI-Built App RescueProduction

FCA Compliance Scanner

An FCA compliance pre-checker for UK financial promotions — inherited as a Bolt.new prototype that looked finished and wasn't. Now it works, and it says so when it can't.

  • Rescued a Bolt.new prototype
  • Severity decided in code, not by the model
  • 250+ tests on the compliance engine

Founder-built · Read the case study

HR & Payroll SaaSIn development

Multi-Country HR & Payroll Platform

Our own multi-tenant HR and payroll platform, in development: people, attendance, time off, approvals and a multi-country payroll tax engine — built security-first, ahead of its first pilot.

  • 370 endpoints behind 120 permissions
  • 463 backend tests + 7 architecture rules
  • Tax engine: Pakistan, US federal + 15 states

Founder-built · Read the case study

All 10 case studies

industries

Built for regulated, multi-tenant work

Healthcare, finance, HR, retail, SaaS and communities — sectors where a data leak or a wrong answer costs far more than a bug fix. Each card links to the system behind it.

Healthcare & medical

HIPAA-aware medical apps on Azure Health Data Services, with FHIR R4 records and DICOM imaging: clinical AI grounded in the open patient's record, audit-logged access with consent and care-team checks, and Apple Health import.

Azure FHIR + DICOMHL7 FHIR R4OHIF viewerHIPAA-aware
See it in FHIR Telehealth Platform

Financial services & RegTech

UK FCA rules apps: compliance pre-checks grounded in the Handbook itself, with sector-correct rulebooks, severity decided in code, and every scan reproducible from its recorded rule-pack version.

FCA HandbookCOBS · MCOB · ICOBS · CONCReproducible scans
See it in FCA Compliance Scanner

HR & payroll

Multi-country payroll tax engines versioned by year, national IDs encrypted and revealed only with permission, and bank details that need a second approver.

Pakistan + US taxEncrypted PIIApproval workflows
See it in Multi-Country HR & Payroll Platform

E-commerce & retail

Configurators that render each choice, bulk imports from vendor price sheets, configurable checkout, and storefronts partners embed with one script tag.

Product visualizerBulk importEmbeddable storefront
See it in Custom Home Configurator

SaaS & customer support

Multi-tenant platforms with tenant isolation in every query and row-level security in the database, usage metering and billing — including AI support agents that answer from a company's own docs.

Row-level securityUsage meteringStripe · Lemon Squeezy · RevenueCat
See it in Aidfolk

Communities & marketplaces

Long-running multi-tenant platforms in nine languages, each tenant with its own configuration, and consent-mode analytics for the EEA, UK and Switzerland.

Multi-tenant config9 languagesConsent Mode v2
See it in Community & Marketplace Platform

Compliance & privacy, engineered in

  • HIPAA-aware handling of patient data — scoped access, audit trails, consent checks
  • Tenant isolation in the application and row-level security in the database
  • Sensitive fields encrypted, revealed only with permission, and audited
  • Right-to-erasure flows with grace windows, and retention limits on personal data
  • Consent Mode v2 analytics — denied by default in the EEA, UK and Switzerland
  • Secrets kept server-side — never in the browser, the app bundle, or an agent's container
  • App Store privacy manifests that match what the app actually collects
  • Security reviews with regression tests, and dependency audits in CI

We engineer to these standards. Certification itself — HIPAA, SOC 2, ISO 27001 — is your organization's process, built on policies and audits, and we support it with the technical evidence it needs.

services

What we build for you

Packaged the way clients actually buy — outcomes first, technology second. Each service page shows the systems behind it.

AI Agents & Automation

Agents that do real work inside your systems, with tools, skills, MCP integrations, human approval and sandboxed code, and automations that take repetitive work off your team.

How we do it

Custom Software Development

Web platforms, APIs and internal systems in Node.js, Python, .NET and React, built to order and supported after launch.

How we do it

SaaS & MVP Development

Multi-tenant SaaS from first MVP to a product customers pay for, with tenancy, billing, usage limits and cloud infrastructure built in.

How we do it

AI & RAG Chatbots

RAG chatbots grounded in your own documents, with a citation on every answer, and LLM integration across Claude, OpenAI and Bedrock.

How we do it

Mobile App Development

React Native and Expo apps for iOS and Android from one codebase, built to App Store and Google Play review standards.

How we do it

.NET & C# Development

Clean Architecture ASP.NET Core systems on .NET 10: multi-tenant APIs, AI backends and background processing.

How we do it

Node.js & TypeScript Development

APIs, NestJS services and Next.js back ends in TypeScript, with validated input, hardened outbound calls and real test suites.

How we do it

Python & FastAPI Development

FastAPI backends, AI features on Pydantic AI and background jobs on Taskiq and Redis, from the studio behind Aidfolk.

How we do it

React, Next.js & Angular Front Ends

Web apps, admin consoles, storefronts and embeddable widgets in TypeScript, plus upgrades to the Angular and jQuery code you already run.

How we do it

Legacy Modernization

Legacy .NET and Angular systems modernized module by module into maintainable production software, without a risky big-bang rewrite.

How we do it

HIPAA-Aware Medical Apps & FHIR

Medical apps on Azure Health Data Services: HL7 FHIR R4 records, DICOM imaging, clinical AI grounded in the open patient's record, and every PHI access logged.

How we do it

FCA Compliance Software

Pre-check tools for UK financial promotions, grounded in the FCA Handbook, with severity decided in code and every result explainable later.

How we do it

AI-Built App Rescue

Built it with Lovable, Bolt, Cursor or Replit and it almost works? We audit it, tell you what's actually broken, and make it safe for real customers.

How we do it

how we work

Senior engineering, priced before you commit

Every engagement starts with a scoping call and a written proposal. Defined projects get a fixed price and a delivery date; maintenance and evolving work can be hourly or a monthly retainer. You choose the shape that fits.

  1. A senior engineer, or the whole team

    Hire our founder as a senior engineer for hands-on work, or bring in the Bracket Mind team — a founder and a team of full-stack engineers — for full delivery. Same accountability either way.

  2. Production-grade by default

    Clean architecture, tests, observability and CI/CD from day one. The code is written for the next developer, not just the demo.

  3. Vibe-coding speed, engineering standards

    We build with AI coding agents every day — Claude Code, Cursor, OpenAI Codex and Antigravity — inside guardrails: rule files and project skills in our repositories, architect, QA and security review agents on non-trivial changes to our own mobile app, and tests and CI as the final gate.

  4. Communication you can plan around

    Replies within 0–4 hours, clear written updates and honest scoping. Clients describe us as reliable, accountable and ahead of schedule.

Fixed-scope sprint

A defined outcome — an MVP, a rescue, an AI feature — with a fixed price and a delivery date agreed before work starts.

Hourly

Billed by the hour for maintenance, support and work whose scope is still moving, with the time logged against each task.

Monthly retainer

A set number of senior engineering days each month for a product that keeps moving: features, upkeep and on-call fixes.

Dedicated team

The Bracket Mind team working as your product team, led by our founder, with your roadmap and your repositories.

reviews

What clients say

Every quote is a real published review from Upwork or Fiverr — unedited.

“Great experience working together. He quickly identified and resolved several bugs in our app, communicated clearly throughout, and delivered exactly what we needed. Professional, fast, and reliable. Would happily work with him again.”

Upwork client

Stealth MVP — Next.js, OpenAI & Supabase

5.0★ on Upwork

“Amazing freelancer to work with. I recommend him. Very professional and goes above and beyond requirements. Expert in what he does and completed the project ahead of schedule.”

Upwork client

Frontend React + ASP.NET

5.0★ on Upwork

“Everything asked for perfectly delivered super quickly — perfection in every possible way. Understood what was needed and even some extra items that weren't discussed beforehand. The response time was exceptional.”

Repeat client, United States

Custom web application

5.0★ on Fiverr

“He did an excellent job helping me with my Angular app, and was very responsive. I will happily work with him again and highly recommend to others.”

Client, United States

Angular application

5.0★ on Fiverr

“The freelancer went above and beyond my expectations. Professional and completed the tasks faster than I anticipated. Will hire him again for future jobs.”

Upwork client

ASP.NET backend + React integration

5.0★ on Upwork

founder & team

A founder who still ships code

Bracket Mind is a founder and a team of full-stack engineers. You speak to the people writing the code — no account-manager layer.

Noman Loan, Business Development & Sales at Bracket Mind

Noman Loan

Business Development & Sales

Engineering team

Full-stack engineers across Node.js, Python, .NET, React, Next.js and Angular, working from Gujranwala on the systems above.

Hiring a senior engineer rather than a team? Read Haseeb Attaullah's profile.

tech stack

The stack we build with

Chosen to fit the problem, not the résumé. Most of it is running in the systems above — ask us about any of it.

AI & agents
Claude (Anthropic)AWS BedrockAzure OpenAIOpenAIGoogle GeminiMicrosoft Agent FrameworkModel Context ProtocolPydantic AIVercel AI SDKComputer vision (YOLO / OpenCV)
RAG & search
pgvectorPineconeCohere RerankPostgres full-textDoclingLangChain
Backend
Node.js / NestJSPython / FastAPI.NET 10 / ASP.NET CoreC#EF CoreTaskiqHangfire
Frontend
React 19Next.js 16Angular 20TypeScriptJavaScriptjQueryTailwind CSSBootstrapKendo UITanStack QueryGrapesJS
Mobile
React NativeExpoRevenueCat
Data
PostgreSQLSQL ServerSupabaseRedisMongoDB
Cloud & DevOps
AzureAWSDockerKubernetesAzure Container AppsAzure Service BusCloudflareVercelGitHub Actions
Healthcare
HL7 FHIR R4DICOM / DICOMwebAzure Health Data ServicesOHIF viewerApple HealthKit

faq

Questions clients ask before hiring us

Straight answers about what we build, how we work and what it costs.

What does Bracket Mind build?

Production SaaS and AI products: AI agents with tools, skills and MCP integrations, RAG systems that cite their sources, multi-tenant platforms in Node.js, Python and .NET with Next.js, React or Angular front ends, React Native apps, and HIPAA-aware healthcare platforms on HL7 FHIR. We also rescue apps built with AI tools like Lovable, Bolt and Cursor. Our own product Aidfolk is live at aidfolk.com.

Can you build AI agents with tools, skills and MCP integrations?

Yes. We build agents that load skills on demand, call HTTP tools and MCP servers, and pause for a person's approval before anything risky. When an agent needs to run code, it runs in a throwaway Docker container with CPU, memory and time limits and no credentials inside. Background work gets its own short-lived container per task, and every step is streamed and metered per tenant.

Do you build HIPAA-compliant healthcare software?

We build healthcare platforms designed to support the HIPAA Security Rule's technical safeguards: HL7 FHIR R4 on BAA-eligible cloud services such as Azure Health Data Services, clinical AI grounded in the open patient's record, and PHI-access audit logging with consent and care-team checks. Formal HIPAA compliance belongs to your organization — policies, agreements and audits — and we support it with the technical evidence it needs.

What does a project cost?

It depends on scope, so we don't publish a rate card — but you won't have to guess either. Tell us what you're building: a defined scope gets a fixed price and a delivery date before you commit, and maintenance or evolving work can be hourly or a monthly retainer, whichever suits you. If a project isn't a good fit, we'll say so early instead of stretching it to fill a contract.

How long does it take to build a SaaS MVP?

It depends on how much the first version has to do, so the timeline comes in writing with the fixed quote rather than as a number promised up front. A focused MVP covers multi-tenant architecture, authentication and role-based access, Stripe subscriptions and deployment, built on Node.js, Python or ASP.NET Core with a Next.js front end, so it scales past the MVP stage instead of being thrown away.

Can you fix a vibe-coded app built with Lovable, Bolt or Cursor?

Yes. Vibe-coded apps usually need security hardening, real authentication enforcement, secret rotation and a deployment pipeline before they're safe for paying customers. We audit first, fix the silent failures, and keep what's good rather than rebuilding from scratch.

Do you use AI coding agents like Claude Code or Cursor yourselves?

Every day: Claude Code, Cursor, OpenAI Codex and Antigravity. Our repositories carry rule files and project skills for coding agents; on our own mobile app, non-trivial changes also go through architect, QA and security review agents, with design review for UI changes. Tests and CI still decide whether anything ships. That is how we get vibe-coding speed without shipping the defects we're usually hired to fix.

Do you work with clients in the US, UK and Europe?

Yes. We've worked with clients in 8+ countries, including the US, UK, Canada, Norway, Belgium and New Zealand, with working hours that overlap both US and European time zones. UK clients also have a point of contact in Glasgow.

Is Bracket Mind one person or a team?

Bracket Mind is a founder and a team of full-stack engineers. You can hire our founder, Haseeb Attaullah, as a senior engineer on his own, or bring in the team for full delivery — the same person stays accountable from the first call to launch.

Which cloud platforms do you work with?

Mostly Azure and AWS. On Azure: Health Data Services for FHIR and DICOM, Container Apps, Service Bus, Static Web Apps, Blob Storage and Azure OpenAI. On AWS: Bedrock for Claude, S3 and Transcribe. Also Cloudflare, Supabase, Vercel and DigitalOcean, with Docker and GitHub Actions throughout.

Where is Bracket Mind located?

Our office is at Arafat Colony, Bazar No 2, Street No 12, Haidri Road, Gujranwala, Punjab 52250, Pakistan, and we have a UK point of contact in Glasgow, Scotland. Call +92-304-0620097 or email hi@bracketmind.com.

How do I start a project?

Book a 30-minute call or send a short description through the estimate form — or email haseeb@bracketmind.com. You get a reply within 0–4 hours, then a written proposal with scope, timeline and pricing, fixed or hourly, whichever fits the work. If you'd rather pay through platform escrow, we can run the project on Upwork.

contact

Have a product to ship or an AI feature to get right?

Tell us what you're building. Replies within 0–4 hours, with honest feedback on scope, timeline and whether we're the right fit.

Book a 30-min call