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AI Engineering Company

We build the
impossible.

Fast.

From concept to production in focused weekly sprints.

Best fit: launch in 90 days with one decision ownerFounder + pod execution: Rodolf, Marvin, Alfred, Ivan, RyanIntern applications open now
Book discovery callView case studies
thynkq.com
Dashboard.tsxTSX
src/
app/
components/
Dashboard.tsx
lib/
auth.ts
deploy.yml
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// Dashboard.tsx
main·UTF-8TypeScript React
thynkq-cli v3.2.0● main ✓ +0
CPU
MEM

Previously at

MetaAI platform engineering
Sanofi96.2% model accuracy
Wizz Air700K+ monthly AI interactions
Raiffeisen BankFintech architecture
SageEnterprise engineering
MetaAI platform engineering
Sanofi96.2% model accuracy
Wizz Air700K+ monthly AI interactions
Raiffeisen BankFintech architecture
SageEnterprise engineering
MetaAI platform engineering
Sanofi96.2% model accuracy
Wizz Air700K+ monthly AI interactions
Raiffeisen BankFintech architecture
SageEnterprise engineering
MetaAI platform engineering
Sanofi96.2% model accuracy
Wizz Air700K+ monthly AI interactions
Raiffeisen BankFintech architecture
SageEnterprise engineering
151K LINES · 21 DAYS · 64 API ROUTES · 24 WORKFLOWS · ENTERPRISE EXPERIENCE · PRODUCTION GRADE · AI-POWERED · ZERO TO SHIP ·
151K LINES · 21 DAYS · 64 API ROUTES · 24 WORKFLOWS · ENTERPRISE EXPERIENCE · PRODUCTION GRADE · AI-POWERED · ZERO TO SHIP ·
151K LINES · 21 DAYS · 64 API ROUTES · 24 WORKFLOWS · ENTERPRISE EXPERIENCE · PRODUCTION GRADE · AI-POWERED · ZERO TO SHIP ·
151K LINES · 21 DAYS · 64 API ROUTES · 24 WORKFLOWS · ENTERPRISE EXPERIENCE · PRODUCTION GRADE · AI-POWERED · ZERO TO SHIP ·
We don't build MVPs.
We build production-grade AI platforms.
At a speed most teams can't comprehend.
thynk

AI Engineering Company based in New York. We build production-grade platforms at unprecedented speed.

Core pod + hiring lane

Marvin - CapitalAlfred - EngineeringIvan - GrowthRyan - Product opsIntern applications open
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Dashboard Preview

What we built. By the numbers.

thynkq.com/dashboard
Code Velocity
153K LOC
shipped in 21 days
7K/day avg
8K
D1
22K
D3
60K
D6
90K
D10
120K
D14
138K
D18
153K
D21
System Status
Client Production
● ONLINE
Uptime
99.9%
AI Router
Reasoning Model
primary
Generation Model
fallback
Speed Model
fast
◉ routing active
terminal — zsh
$vercel deploy --prod▋
Fortune 500 Experience
MetaAI Integration
SanofiData Platforms
Wizz AirAviation SaaS
Raiffeisen BankFintech
SageEnterprise SW
<24hr
Client Response
avg. response time guarantee
Currently Building
PL Maps · Power Liens
Mapping SaaS · Live
ThynkQ.com
AI Portfolio · Live
Next Project
Available Q3 2026
Recent Activity
gitlab.com/abanoub.rodolf ↗
deployed v2.4.1 client-ops-platform · production
3d ago
Engineering Background

Shipped inside Meta, Sanofi, and Wizz Air.

Meta
AI Integration Engineer
sanofiSanofi
Data Platform Engineer
WIZZ AIRWizz Air
Software Engineer
RaiffeisenRaiffeisen Bank
Fintech Engineer
sageSage
Software Engineer
Flagship case study

PL Maps turned a brittle map stack into a shared workspace.

Multi-user access, provider routing, and a clean move off MapQuest. Shipped on a fixed bid.

pl-maps.vercel.app
LIVE
Pacific Orthopaedic
0.3 mi · In-network
Network stats
847
Providers
2.1s
Avg route
99.4%
Uptime
Traffic split
PL Maps 67%Legacy 33%
4 weeks
Build time
MapQuest removed
Dependency
Zero overruns
Budget
Fixed bid
Engagement

Fixed bid. Four weekends. On schedule.

The full story — architecture, decisions, and delivery.

See the case study →
Case Study

Operational platform shipped in 21 days.

A multi-tenant client operations platform with auth, billing, AI copilots, and workflow automation shipped on a fixed bid in 21 days.

153K
Lines of Code
21
Days to Ship
24
Workflows Automated
64
API Routes
4
User Roles
$1.2M
Est. Replacement Cost

Client Operations Platform

Confidential | Live in production
LIVE

The Challenge

Build a production operations platform from scratch with role-based access, billing, document workflows, AI-assisted task handling, and four permission tiers in a 21-day delivery window.

The Stack

Next.js 15TypeScriptFirebaseStripeself-hosted model AIFramer MotionTailwindVercelResend

The Result

Shipped to production in 21 days with strong reliability, full source-code ownership, and automation coverage across the highest-friction client operations paths.

See more work →
PL Maps · Power Liens

Full mapping stack replacement. Four weekends.

React Leaflet 5, Nominatim geocoding, Vercel Blob push architecture, and CCPA compliance, replacing MapQuest end-to-end on a fixed bid.

React Leaflet 5CartoDB tilesNominatimVercel BlobNext.js
Full case study →pl-maps.vercel.app ↗
Client Feedback

What they say.

Real results. Real feedback.

“

I had spec docs, a rough design, and a hard launch date. ThynkQ delivered a working product two weeks before the deadline with billing, automation, dashboards, and a stable backend. I kept waiting for corner-cutting. It never came.

VC
Verified ClientVERIFIED
Founder, B2B SaaS
138,236 lines by day 6, 153K by day 21
What You Get

Not services. Results.

Every engagement ends with a shipped product. Not a pitch deck.

01

AI-Powered SaaS

Full-stack product engineering with multi-LLM routing, real-time AI features, and production-grade infrastructure from day one.

02

Rapid MVP to Production

Tight delivery cycles without quality debt. You get visible progress, stable architecture, and production readiness from sprint one.

03

Enterprise AI Integration

We've built AI systems inside Fortune 500 environments: Meta, Sanofi, Raiffeisen. We know how enterprise works.

04

AI Engine Development

Custom multi-LLM routing engines, RAG pipelines, model orchestration, and real-time AI APIs with automatic failover.

Open Source Builder
Built mcp-scan

An open source security scanner for MCP servers. 13 scanners. 15+ AI tools. One command.

v1.7.5 · MITSee mcp-scan ->
AI Engineering

AI that ships. Not slides.

Production-grade AI systems, not proof-of-concepts that break in demo.

RAG Pipelines

Vector search, chunking strategies, and hybrid retrieval. Grounded answers from your data, not hallucinations.

LangChain / Pinecone / Firestore

Multi-Intent Chatbots

Complex routing, multi-turn memory, and graceful fallbacks. Not a ChatGPT wrapper.

ThynkQ AI / Multi-LLM / WebSockets

LLM Orchestration

Route across models based on task complexity, cost, and latency. Automatic failover and prompt tuning.

Multi-model / Fallback chains

AI Analytics

Real-time dashboards for token usage, latency, accuracy, and cost in production.

Vercel Analytics / Custom dashboards

Prompt Engineering

Chain-of-thought, few-shot examples, and structured outputs. Reliable results, not random.

JSON mode / Function calling

Streaming AI

Server-sent events and progressive rendering. Users see AI thinking in real-time.

SSE / Edge Functions / Suspense
Tech Stack

Battle-tested tools.

Chosen for production reliability and developer velocity. No hype stacks.

TypeScript✓
End-to-end type safety
Next.js✓
App Router + RSC
React 19✓
Server Components
Tailwind CSS✓
Utility-first CSS
Framer Motion✓
Spring physics + gestures
Firebase✓
Auth + Firestore + Storage
PostgreSQL✓
Relational when needed
Stripe✓
Subscriptions + billing
Vercel✓
Edge functions + CDN
LLM APIs✓
Multi-provider routing
ThynkQ AI✓
Proprietary AI engine
LangChain✓
RAG pipelines + chains
Resend✓
Transactional email
Cloudinary✓
Image optimization + CDN
GitHub Actions✓
Automated CI/CD

Open to any stack your project needs. Python, Go, Rust, AWS, GCP, Docker, Kubernetes.

Discuss your stack →
Pricing

Transparent pricing. Pick your lane.

Three core tiers plus short-term sprint plans. Product Build is the default lane for teams shipping to production in weeks.

Scope unclearTechnical Audit
Need launch this quarterProduct Build (most selected)
Need monthly leadershipFractional CTO
Need one urgent fix2-week or 4-week sprint
Technical Audit
$5Kflat

One focused week to de-risk architecture, security, and execution order before build spend compounds.

Choose this when scope is unclear.

Not ideal for: Not ideal if you already know scope and need immediate implementation.

+Full architecture review
+Findings report + priority list
+Delivered in 1 week
+Actionable recommendations
+Source of truth for next steps
Book 30-min fit call →
Most Popular
Product Build
$25K–$50Kflat

Full production delivery from scope lock to launch, with milestones, QA proof, and post-launch support.

Choose this when scope is mostly known and launch is near-term.

Not ideal for: Not ideal if you only need one blocked workflow fixed this month.

+Everything in Technical Audit
+Full SaaS platform build
+Auth, payments, dashboards
+AI/LLM integration
+2–8 weeks delivery
+30 days post-launch support
Book 30-min fit call →
Fractional CTO
$10K–$15K/ month

Embedded senior technical leadership across architecture, hiring, roadmap, quality, and execution risk.

Choose this when your team ships monthly and needs senior leadership.

Not ideal for: Not ideal for one-time build projects with a defined launch date.

+Weekly syncs + async Slack
+Architecture & code review
+Hiring support & team building
+Vendor & tool evaluation
+Technical due diligence
+Cancel anytime
Book 30-min fit call →
Short-term plans

Need immediate momentum on one workflow first? Start with a sprint, then roll into Product Build if scope expands.

Sprint Fix (2-week)from $12K · one urgent workflowFast de-risking when one critical workflow is blocked.Launch Sprint (4-week)from $18K · one scoped releaseOne production release with QA proof and handoff.
Typical agency rate
$80K–$150K
Based on industry averages
ThynkQ rate
$5K–$50K
Scope-dependent, production-ready
Delivery speed
2–8 wks
From kickoff to production

Value-based pricing. You pay for outcomes, not hours. Let's talk →

See full pricing + FAQ →
Why ThynkQ

Not another dev shop.

Most agencies give you a team of juniors and a project manager. We give you a senior engineer who's shipped production systems at Meta, Sanofi, and Wizz Air, who writes every line of code.

01

One engineer. Zero overhead.

No account managers, no handoffs, no game of telephone. You talk directly to the person writing your code. Decisions happen in minutes, not meetings.

02

Full-stack by default.

Frontend, backend, database, auth, payments, AI, DevOps. Full ownership across every layer. No hand-offs. No integration gaps.

03

AI-native engineering.

Every project gets AI built in from the start, not bolted on as an afterthought. LLM orchestration, RAG pipelines, and intelligent automation from day one.

04

Speed without shortcuts.

153,000 lines of production TypeScript shipped in 21 days. Not because we cut corners. Because one senior engineer with the right tools moves faster than a team with meetings.

The Honest Comparison

ThynkQ vs. the alternatives.

How we stack up on the things that matter.

Criteria
ThynkQ
Dev Agency
Freelance Dev
Time to first deploy✓24–48 hrs2–4 weeks3–7 days
Full SaaS delivery✓2–8 weeks3–6 months2–4 months
Who writes the code✓Senior engineerMixed teamVaries
AI integration depth✓Native, productionVariesVaries
Communication✓Direct accessAccount managerAsync
Price range✓$5K–$50K$50K–$200K+$5K–$30K
Code quality✓Production-gradeVariesVaries
Post-launch support✓30 days includedRetainer-basedCase by case
Let's talk about your project →
Enterprise Experience

Built for scale. Proven at scale.

Real engineering inside enterprise environments, not consulting decks.

M
Meta
AI Integration Engineering

Internal AI tooling for content moderation workflows at massive scale.

✓Multi-model LLM pipeline
✓Real-time inference API
✓Sub-200ms latency at scale
TypeScriptReactPythonAI/ML
S
Sanofi
Enterprise Data Platforms

Pharma-grade data pipeline and analytics dashboards for clinical research teams.

✓Unified data platform
✓HIPAA-compliant architecture
✓Cross-team analytics
TypeScriptReactAzureSQL
W
Wizz Air
Aviation SaaS Systems

High-availability booking and operations systems serving millions of passengers.

✓99.99% uptime systems
✓Real-time flight ops
✓Millions of daily transactions
TypeScript.NETAzureMicroservices
How We Work

Four steps to production.

01

Discovery Call

30 min

A 30-minute conversation to understand your product, users, and goals. We define scope, timeline, and the tech stack. No decks, no fluff.

02

Architecture & Proposal

48 hrs

You receive a detailed technical proposal within 48 hours: system design, milestones, pricing, and timeline. Fixed price, no hourly surprises.

03

Build Sprint

1-6 weeks

Daily async updates with live staging links. You see real progress every day, not wireframes, not mockups. Working software you can click and test.

04

Launch & Handoff

Day 0

Deployed to production with monitoring, analytics, and documentation. Full source code ownership. 30 days of post-launch support included.

Book discovery call →
Team

Founder-led execution with a cross-functional growth pod.

You work directly with Rodolf, backed by focused experts in engineering, product ops, marketing systems, and capital strategy.

Marvin - capitalAlfred - engineeringIvan - growthRyan - product opsIntern applications open
Abanoub Rodolf Boctor

Abanoub Rodolf Boctor

Founder-led technical operator

Full-stack architect and AI engineer. Built 138,236 lines by day 6 and 153K by day 21 in production TypeScript. Former engineer at Meta, Sanofi, and Wizz Air.

TypeScriptNext.jsAI SystemsProduct Delivery
GitLabLinkedInBook founder fit call
Core team

Marvin Hellman

Chief Investment Officer

Capital strategy, investor relations, and growth financing.

Keeps delivery economics sharp and aligns technical execution with return outcomes.

marvin@thynkq.com

Core team

Alfred Bostorous

Engineer

Full-stack systems, infrastructure hardening, and production reliability.

Turns architecture decisions into stable implementation and launch-safe execution.

alfred@thynkq.com

Core team

Ivan

Growth & Marketing Systems

Positioning, funnel messaging, and qualified lead conversion loops.

Owns demand signal quality so the right clients self-qualify before discovery calls.

team@thynkq.com

Core team

Ryan

Product Strategy & Operations

Scope framing, workflow clarity, and launch rhythm orchestration.

Translates founder goals into execution checkpoints that reduce waste and delay.

team@thynkq.com

Looking for interns

We are opening intern seats for engineering, product, and growth systems.

8-12 week operator track. Interns ship real client-facing work with direct founder feedback and weekly proof reviews.

Apply for internshipRead company and founder profile
570+
Total Commits
90+
Git Pushes
180+
Source Files
gitlab.com/abanoub.rodolf ↗
Writing

Thoughts on engineering.

All posts →
Product9 min read

How Much Does It Cost to Build an AI SaaS MVP in 2026?

Real cost breakdown: what drives the price, tier-by-tier estimates from $5K to $500K+, and the agency markup problem no one talks about.

Mar 1, 2026Read →
Engineering8 min read

Hire an AI Engineer vs an AI Agency in 2026

Speed, cost, quality, and risk: an honest comparison of when to hire a senior engineer versus an agency for your AI product build.

Mar 1, 2026Read →
Engineering10 min read

How to Build a SaaS in 2 Weeks: A Real Case Study

The actual playbook from a 21-day, 151K-line TypeScript SaaS build: architecture decisions, execution order, and what makes serious speed possible.

Mar 1, 2026Read →
FAQ

Common questions.

Taking Q3 2026 projects now
2 spots remaining

Let's build something
extraordinary.

We take a small number of projects at a time to deliver at the highest level. Your project gets full attention, not a junior developer.

rodolf@thynkq.com
Start a Project →Book the Free Call
NDA on requestFree 30-min discovery callFixed-scope contracts
GitLab ↗LinkedIn ↗