Built in Aidfolk
A support agent that answers from your docs
Point it at your files, website and help pages. It answers customers on your site, cites where every answer came from, and keeps a list of what it couldn't answer.
Building scalable SaaS & AI products — MVP → Production → Scale
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.
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
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.
Built in Aidfolk
Point it at your files, website and help pages. It answers customers on your site, cites where every answer came from, and keeps a list of what it couldn't answer.
Built in FCA Compliance Scanner
Built with Lovable, Bolt or Cursor and almost there? We audit it, fix the silent failures first, and you keep the defect register whoever does the fixing.
Built in Custom Home Configurator
Customers pick finishes and packages and see the result rendered as they choose — kept in sync with price, quote, and a link they can share.
Built in Architectural Lighting E-Commerce
Upload a vendor's Excel or CSV: columns map themselves, problems are flagged row by row, and products are created in bulk, with failures retryable.
Built in Community & Marketplace Platform
An AI designer proposes a page plan, waits for your approval, then builds it section by section in your page editor — and edits only the part you select.
Built in Autonomous Work-List Agent
An agent picks up assigned tasks and completes the forms on its own — never submitting anything incomplete, and handing over to a person when it should.
Built in Shared AI Platform Backend
Skills, HTTP tools and MCP server connections added as data instead of deploys — with risky calls paused until a person approves them.
Built in FHIR Telehealth Platform
An assistant grounded in the open patient's FHIR record — conditions, medications, notes and results — with record access checked and logged.
Built in Zentally · In development
iOS and Android from one codebase, with the parts review rejects you for done properly: subscriptions, a server-enforced paywall, account deletion and a privacy manifest.
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 estimateai agents
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.
$ agent.run("Reconcile October's invoices")
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.
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 BackendInstructions 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 BackendPlug 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 BackendTools defined as data — hostnames screened against SSRF, redirects refused, responses capped, and credentials encrypted at rest.
Built in Shared AI Platform BackendWrite 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 BackendThe 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 BackendEach 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 AgentModel 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 BackendEvery 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 BackendEach 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 BackendHybrid vector and full-text search, optional reranking, and every answer linked back to the page it came from.
Built in AidfolkDocument and file text treated as data, never as instructions — behind guardrails for injection, toxicity, credential probing and abusive IPs.
Built in Shared AI Platform BackendEvery 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 AidfolkThinking, 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 Platformselected work
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
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.
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
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.
Team project · Read the case study
Healthcare AI PlatformProduction
A FHIR-native telehealth platform that fuses clinical records with an AI assistant grounded in each patient's history.
Team project · Read the case study
Autonomous AI AutomationProduction
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.
Founder-built · Read the case study
RegTech · AI-Built App RescueProduction
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.
Founder-built · Read the case study
HR & Payroll SaaSIn development
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.
Founder-built · Read the case study
industries
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.
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.
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.
Multi-country payroll tax engines versioned by year, national IDs encrypted and revealed only with permission, and bank details that need a second approver.
Configurators that render each choice, bulk imports from vendor price sheets, configurable checkout, and storefronts partners embed with one script tag.
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.
Long-running multi-tenant platforms in nine languages, each tenant with its own configuration, and consent-mode analytics for the EEA, UK and Switzerland.
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
Packaged the way clients actually buy — outcomes first, technology second. Each service page shows the systems behind it.
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
Web platforms, APIs and internal systems in Node.js, Python, .NET and React, built to order and supported after launch.
How we do it
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
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
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
Clean Architecture ASP.NET Core systems on .NET 10: multi-tenant APIs, AI backends and background processing.
How we do it
APIs, NestJS services and Next.js back ends in TypeScript, with validated input, hardened outbound calls and real test suites.
How we do it
FastAPI backends, AI features on Pydantic AI and background jobs on Taskiq and Redis, from the studio behind Aidfolk.
How we do it
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 .NET and Angular systems modernized module by module into maintainable production software, without a risky big-bang rewrite.
How we do it
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
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
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
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.
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.
Clean architecture, tests, observability and CI/CD from day one. The code is written for the next developer, not just the demo.
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.
Replies within 0–4 hours, clear written updates and honest scoping. Clients describe us as reliable, accountable and ahead of schedule.
A defined outcome — an MVP, a rescue, an AI feature — with a fixed price and a delivery date agreed before work starts.
Billed by the hour for maintenance, support and work whose scope is still moving, with the time logged against each task.
A set number of senior engineering days each month for a product that keeps moving: features, upkeep and on-call fixes.
The Bracket Mind team working as your product team, led by our founder, with your roadmap and your repositories.
reviews
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
Bracket Mind is a founder and a team of full-stack engineers. You speak to the people writing the code — no account-manager layer.


Business Development & Sales
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
Chosen to fit the problem, not the résumé. Most of it is running in the systems above — ask us about any of it.
faq
Straight answers about what we build, how we work and what it costs.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
Tell us what you're building. Replies within 0–4 hours, with honest feedback on scope, timeline and whether we're the right fit.