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AI Innovation Leaders

AI & Machine Learning Company in Zurich

Zurich is the financial capital of continental Europe and a global center for banking, insurance, and pharmaceutical innovation. Home to UBS, Credit Suisse, Novartis, and the Crypto Valley in nearby Zug, Zurich combines Swiss precision with cutting-edge technology. Our Zurich team builds enterprise solutions for the world's most demanding industries.

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Codazz — Top Generative AI Company on Clutch 2026
4.9/5
Clutch Rating
500+
Projects Delivered
ISO
27001 Certified
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99%
Client Satisfaction
AWS Advanced Tier PartnerSOC II CompliantISO 27001 CertifiedWebby Award Honoree
Service Overview

AI & Machine Learning Solutions for Zurich Businesses

Zurich runs one of the densest AI research and engineering clusters in Europe, anchored by Google's largest non-US engineering office (more than 5,000 engineers at Europaallee and Sihlpost, with heavy AI/ML, Search, YouTube ML, and DeepMind-affiliated teams), Meta Zurich at Giesshübelstrasse, Microsoft Zurich's mixed reality and AI group, Apple Zurich's small but elite ML team out of the FaceShift and Spectral Edge acquisitions, NVIDIA Zurich, Disney Research Zurich on Stampfenbachstrasse (computer graphics and animation AI), and IBM Research Zurich in Rüschlikon (heritage going back to 1956, with Nobel and Turing-grade output). ETH Zurich and EPFL in Lausanne sit at the top of European AI research rankings, feeding Cevotec, MindMaze, Sonova, and the Swiss bank AI estates at UBS, Julius Baer, Pictet, and Vontobel. Codazz builds production AI and ML systems for Zurich and Geneva private banks, Swiss insurers (Zurich Insurance, Swiss Re, Swiss Life, Helvetia), pharma in Basel (Roche, Novartis), and the medtech corridor (Sonova, MindMaze, Straumann). Our engineers ship inside AWS eu-central-2 (Zurich) and Azure Switzerland North for FADP and FINMA Circular 18/3-compliant Swiss-resident inference, deliver model cards, DPIAs, and FINMA-aligned outsourcing notifications, and work CET hours from Chandigarh with on-site coordination in Zurich and Geneva. We do not pretend to compete with Google Zurich or IBM Rüschlikon on research; we ship the applied production layer most Swiss enterprises actually need.

Zurich is the financial capital of continental Europe and a global center for banking, insurance, and pharmaceutical innovation. Home to UBS, Credit Suisse, Novartis, and the Crypto Valley in nearby Zug, Zurich combines Swiss precision with cutting-edge technology. Our Zurich team builds enterprise solutions for the world's most demanding industries.

Why AI & Machine Learning in Zurich?

Zurich, Zurich is a thriving hub for technology and innovation. Businesses here demand top-tier ai & machine learning solutions that can compete on a global stage while addressing local market needs. Our team combines deep technical expertise with an understanding of Zurich's unique business landscape to deliver solutions that drive measurable results.

8+
Years Experience
24
Countries Served
200+
Engineers

What You Get

Custom-built solutions tailored to your business
Dedicated project manager in your timezone
Agile development with weekly sprint demos
Full source code ownership from day one
Comprehensive QA and security testing
90-day post-launch support included
NDA and IP protection guaranteed
Fixed-price or flexible engagement models
What We Build

AI & Machine Learning Services We Offer in Zurich

Zurich AI buyers do not need another generic LLM pitch. Google Zurich set the European bar on Search and Assistant ML, IBM Rüschlikon ships the quantum-AI heritage stack, and ETH and EPFL graduate hires staff Swiss bank AI teams. Our services mirror that standard. We build RAG and agent systems on Anthropic Claude through Bedrock eu-central-2, Azure OpenAI Switzerland North, OpenAI through Microsoft's Swiss residency, Cohere EU and Aleph Alpha Luminous when German and Swiss-language depth matters, and self-hosted Llama 3.3, Mistral, and Qwen2.5 on H100 clusters in Zurich and Geneva when FINMA outsourcing rules or FADP cross-border obligations rule out US-hosted frontier APIs. Classical ML (XGBoost, LightGBM, CatBoost) handles tabular work in wealth management, insurance underwriting, and reinsurance where Article 21 FADP (automated individual decisions, equivalent to GDPR Article 22) requires human review. Every engagement ships with a model card, a bias and fairness audit, an FADP DPIA, and a FINMA Circular 18/3 outsourcing classification.

01
🤖

LLM Integration & AI Automation

Integrate large language models like GPT-4, Claude, and Gemini into your products and workflows. We build custom AI agents, RAG pipelines, intelligent document processing systems, and automated content generation tools that save hundreds of hours per month.

OpenAIClaude APILangChainRAGAI Agents
02
👁️

Computer Vision & Predictive Analytics

Deploy custom machine learning models for image recognition, object detection, anomaly detection, and predictive forecasting. From quality control in manufacturing to demand prediction in retail, we build models that deliver measurable ROI.

TensorFlowPyTorchYOLOScikit-learnMLOps
💬

AI Chatbots & Virtual Assistants

Build intelligent conversational AI that handles customer inquiries, books appointments, and provides 24/7 support with human-like responses.

📈

Predictive Analytics & Forecasting

Leverage historical data to forecast demand, detect churn, optimize pricing, and make data-driven decisions with custom ML models.

📄

Intelligent Document Processing

Automate data extraction from invoices, contracts, and forms using OCR and NLP to eliminate manual data entry and reduce errors.

🔗

AI Strategy & Consulting

Identify high-impact AI opportunities in your business with a comprehensive audit, feasibility analysis, and implementation roadmap.

Industry Expertise

AI & Machine Learning for Zurich's Key Industries

Zurich AI demand concentrates in five verticals where we have shipped or scoped. In private banking and wealth management, UBS (post-Credit-Suisse integration), Julius Baer, Pictet, Lombard Odier, Vontobel, and EFG ship document intelligence, KYC and AML transaction monitoring, portfolio construction, ESG screening, and client-relationship AI under FINMA Circular 18/3 outsourcing, FINMA Circular 23/1 operational resilience, and FINMA's 2024 AI risk monitor. In insurance and reinsurance, Zurich Insurance Group, Swiss Re, Swiss Life, Helvetia, and Baloise run claims triage, fraud detection, underwriting AI, and catastrophe modelling under FINMA insurance supervision and FINMA Circular 16/3 ORSA. In pharma and medtech, the Basel-Zurich corridor (Roche, Novartis, Sonova, Straumann, MindMaze in Lausanne) builds clinical-trial AI, dermatology and hearing-loss AI, and surgical robotics AI under Swissmedic MDR equivalence (MepV / HMG) and the new MedTech Switzerland-EU MRA framework. In retail and luxury, Migros, Coop, Galaxus, Richemont, and Swatch Group fund recommendation, demand forecasting, and dynamic pricing. In public sector and ETH-EPFL spinouts, federal and cantonal agencies, plus Cevotec and other ETH spinouts, fund applied research-to-production handoff that pure research teams struggle to ship.

🏦
Banking & Wealth TechAI & Machine Learning Solutions
🧬
Pharma & BioTechAI & Machine Learning Solutions
🛡️
InsuranceAI & Machine Learning Solutions
🤖
BlockchainAI & Machine Learning Solutions
Precision EngineeringAI & Machine Learning Solutions
Our Process

Our AI & Machine Learning Development Process

Discovery, design, build, and deployment run on CET so Zurich product, compliance, and risk leads get synchronous standups, not overnight handoffs. Week one opens with a dual FADP and EU AI Act classification (Switzerland is not in the EU but most Swiss enterprises export to the EU and are bound by EU AI Act Article 2 territorial scope when outputs are used inside the EU), plus a FINMA Circular 18/3 outsourcing review when the engagement covers a bank, insurer, or financial-market infrastructure. FINMA Circular 17/2 corporate governance, FINMA Circular 23/1 operational risk and resilience, and FINMA's 2023 risk monitor on AI shape the controls. Build sprints are two weeks, reviewed against a model card template aligned with FADP, FINMA, and the EU AI Act conformity-assessment template. Deployment includes drift monitoring, an Article 21 FADP human-review pathway, and a documented rollback plan FINMA and the EDÖB (Federal Data Protection and Information Commissioner) can audit.

01

AI Opportunity Assessment

1-2 Weeks

We audit your data, workflows, and business goals to identify the highest-impact AI use cases and evaluate technical feasibility.

Deliverables
AI Opportunity ReportData Readiness AssessmentFeasibility AnalysisROI Projections
02

Data Engineering & Preparation

2-4 Weeks

We clean, label, and structure your data for model training. This includes building data pipelines, feature engineering, and establishing data quality benchmarks.

Deliverables
Data Pipeline ArchitectureCleaned & Labeled DatasetsFeature Engineering ReportData Quality Metrics
03

Model Development & Training

4-8 Weeks

Our ML engineers build, train, and fine-tune models using state-of-the-art techniques. We run experiments, optimize hyperparameters, and validate results.

Deliverables
Trained ML ModelsExperiment Tracking ReportsModel Performance MetricsComparison Benchmarks
04

Integration & Testing

2-4 Weeks

We integrate the AI model into your existing systems via APIs, build monitoring dashboards, and conduct thorough testing with real-world data.

Deliverables
API EndpointsIntegration DocumentationA/B Test ResultsMonitoring Dashboard
05

Deployment & MLOps

1-2 Weeks

Production deployment with automated retraining pipelines, model versioning, drift detection, and performance monitoring for continuous improvement.

Deliverables
Production DeploymentMLOps PipelineModel Monitoring AlertsRetraining Schedule
Technology

Technologies We Use for AI & Machine Learning

Zurich AI workloads need Swiss-resident or EU-resident inference depending on the regulatory posture. We default to AWS eu-central-2 (Zurich, launched November 2022, the only hyperscaler region inside Switzerland for AWS until GCP europe-west6 also landed in Zurich) for FINMA outsourcing-light workloads, Azure Switzerland North (Zurich) and Switzerland West (Geneva) for Microsoft estate clients, and GCP europe-west6 (Zurich) for GCP-native engineering. For LLMs that must stay in Switzerland we use Azure OpenAI Switzerland North, Anthropic Claude on Bedrock eu-central-2, or self-hosted Llama 3.3, Mistral, and DeepSeek on H100 clusters at Equinix Zurich and Interxion Zurich. Aleph Alpha Luminous handles German-Swiss-French multilingual depth when needed. MLflow, Weights and Biases (EU tenant), and SageMaker handle experiment tracking. SHAP, LIME, Captum, Aequitas, and Microsoft Fairlearn produce the explainability and fairness artefacts FINMA, EDÖB, and EU AI Act Annex IV reviewers expect.

LLM & NLP
OpenAI GPT-4Claude APILangChainHugging FacespaCy
LLM & NLP
OpenAI GPT-4 · Claude API · LangChain · Hugging Face +1 more
ML Frameworks
TensorFlow · PyTorch · Scikit-learn · XGBoost +1 more
Data & MLOps
Python · Pandas · MLflow · Weights & Biases +1 more
Cloud AI Services
AWS SageMaker · Google Vertex AI · Azure ML · Pinecone +1 more
Why Choose Us

Why Zurich Businesses Choose Codazz for AI & Machine Learning

We combine world-class engineering with local market understanding to deliver ai & machine learning solutions that drive real business outcomes.

🏔️

Swiss-Resident Inference

AWS eu-central-2, Azure Switzerland North and West, and GCP europe-west6 all sit inside Switzerland. We architect training, inference, and LLM endpoints to stay inside CH for banking-secrecy and FINMA outsourcing-light workloads, with documented exit paths to eu-central-1 for non-sensitive layers.

🏦

FINMA 18/3 & 23/1 Native

Every UBS, Julius Baer, Pictet, Vontobel, Swiss Re, or Zurich Insurance engagement runs a FINMA Circular 18/3 outsourcing classification, a FINMA 23/1 operational resilience review, and FINMA 2024 AI risk-monitor controls at discovery, with the Auslagerungs-Inventar and audit-rights clauses your supervised entity needs.

🎓

ETH & EPFL Pipeline

ETH Zurich and EPFL Lausanne sit at the top of European AI research. We scope ETH AI Center, EPFL CIS, or UZH collaborations when projects require genuine novel science, and otherwise ship the applied production layer that ETH and EPFL spinouts like Cevotec, MindMaze, and Daedalean still need to commercialise.

🔐

Dual FADP & EU AI Act

Swiss entities exporting to the EU live under FADP and EU AI Act Article 2 simultaneously. We deliver a single DPIA, model card, and conformity-assessment trail that satisfies the EDÖB, FINMA, and a designated EU authorised representative, instead of two parallel documentation streams nobody maintains.

📍

Local Expertise

Our team understands the regulatory landscape, business culture, and user expectations specific to your city. We combine global engineering standards with hyper-local market knowledge to build products that resonate with your target audience from day one.

📈

Proven Track Record

With 500+ projects delivered across 24 countries since 2018, we bring battle-tested processes and domain expertise to every engagement. Our client retention rate of 94% speaks to the long-term partnerships we build, not just one-off projects.

👥

Dedicated Team

Every project gets a dedicated cross-functional team including a project manager, lead architect, senior developers, QA engineers, and a DevOps specialist. No freelancers, no outsourcing your project to third parties - your team is your team throughout.

🛠️

Post-Launch Support

Our relationship does not end at deployment. We provide 90 days of complimentary post-launch support, proactive monitoring, performance optimization, and a dedicated Slack channel for your team. Most clients continue with our maintenance retainer plans.

Featured Results

Real Results from Real Projects

We measure success by the impact we create. Here are three recent projects that showcase our ai & machine learning capabilities.

💳
FinTech

Digital Banking Platform

Built a full-stack digital banking app with real-time payments, biometric auth, and PCI-DSS compliance. Scaled from 0 to 100K+ active users within 8 months of launch.

4.9★
App Store Rating
100K+
Active Users
99.99%
Uptime SLA
React NativeNode.jsAWSStripe
🛒
E-Commerce

Omnichannel Retail Platform

Designed and developed a headless commerce platform integrating 12 sales channels with unified inventory, AI-powered recommendations, and sub-second page loads globally.

3x
Revenue Growth
340%
Conversion Lift
<0.8s
Load Time
Next.jsShopify PlusAlgoliaVercel
🏥
Healthcare

Telehealth & Patient Portal

Delivered a HIPAA-compliant telehealth platform with video consultations, EHR integration, e-prescriptions, and a patient portal serving 50K+ patients across 200+ providers.

HIPAA
Compliant
50K+
Patients Served
4.8★
Provider Rating
ReactPythonFHIRAzure
Client Testimonials

What Zurich Clients Say About Us

Real feedback from businesses we have partnered with on ai & machine learning projects.

FINMA-compliant wealth management platform serving CHF 10B in assets. Swiss-grade security and reliability — our compliance team had zero findings.

H
Hans Meier
CTO, Helvetia Private Wealth

Clinical data platform used by five pharma companies across Switzerland. Swissmedic-compliant and researchers trust it completely — no small thing in this industry.

D
Dr. Anna Schneider
VP Digital, Alpine Therapeutics

DeFi protocol with $500M in TVL. Audited, battle-tested, and running flawlessly on Ethereum and Polygon for over a year now.

M
Marco Bernasconi
Founder, Chainforge Labs
FAQs

Frequently Asked Questions About AI & Machine Learning in Zurich

Have a question not listed here? Reach out to our team and we will get back to you within 4 hours.

Ask a Question

The core-banking systems a model must reach set the Zurich number: a scoped AI proof of concept at Zurich rates, a production ML model (KYC document intelligence, claims triage, churn, demand forecasting, hearing-loss screening), or full production AI platforms with RAG, fine-tuning, multiple models, and Avaloq, Temenos, or Guidewire enterprise integrations. Scope drivers include data audit, a baseline model, and a hosted demo on eu-central-2 or Switzerland North.

The revised Federal Act on Data Protection (nFADP / nDSG) entered into force on 1 September 2023 and is broadly GDPR-equivalent: Switzerland holds an EU adequacy decision (last reviewed 2024), data subjects have access, rectification, and portability rights, controllers must keep a processing record, and a DPIA is required for high-risk processing including most automated decision-making. Article 21 nFADP mirrors GDPR Article 22 on automated individual decisions: data subjects can demand human review. Differences worth flagging: the nFADP has no GDPR-style four-percent global-turnover fine, instead applying fines up to CHF 250,000 on individuals (not entities), and breach-notification timelines are softer ('as soon as possible' rather than 72 hours). Our DPIAs satisfy both regimes so EU-export clients do not run two documentation streams.

FINMA Circular 18/3 (Outsourcing - banks and insurers) governs how Swiss banks and insurers outsource significant business activities, which expressly includes cloud computing and AI services. Required controls include an inventory of outsourced services, a materiality classification, a written outsourcing agreement covering audit and FINMA access rights, a business-continuity plan, and ongoing risk management. AI-specific overlays come from FINMA Circular 23/1 operational risk and resilience, and FINMA's 2024 risk monitor explicitly on AI. Our regulated builds produce the FINMA Outsourcing-Notification documentation, the audit-rights clauses, and the exit strategy your internal audit and FINMA-supervised entity governance committee need. AWS eu-central-2 and Azure Switzerland North hold FINMA-accepted outsourcing patterns documented through their compliance offerings.

Yes. We ship document intelligence for client onboarding (KYC, KYB, suitability assessment, MiFID II suitability and Swiss FinSA equivalence), AML and sanctions transaction monitoring, portfolio-construction and rebalancing AI, ESG screening, and client-advisor copilots. Stack patterns integrate with Avaloq, Temenos T24, Olympic Banking System, and Murex. FINMA Circular 18/3 outsourcing classification and FINMA Circular 23/1 operational resilience are scoped at discovery. Models train and infer inside AWS eu-central-2, Azure Switzerland North, or Swiss-resident GPU clusters at Equinix and Interxion Zurich, with documented data flows that respect Swiss banking secrecy (Art. 47 Banking Act) and FADP Article 9 health-data carve-outs where life-insurance underwriting is in scope.

Regulation (EU) 2024/1689 applies extraterritorially under Article 2: an AI system put into service in the EU, used by a provider or deployer established in the EU, or whose output is used in the EU, falls inside scope regardless of where the provider sits. That captures most Swiss bank, insurer, pharma, and medtech AI because outputs flow to EU customers, EU subsidiaries, or EU regulators. Our discovery phase runs a dual FADP and EU AI Act classification, and high-risk Annex III builds (credit scoring, employment, biometric identification, critical infrastructure, education access) ship with Annex IV technical documentation, a quality management system, post-market monitoring, and a designated EU authorised representative when the provider is established outside the EU. Swiss-only deployments (e.g. cantonal public services with no EU output) get FADP-only treatment.

We default to AWS eu-central-2 (Zurich), Azure Switzerland North (Zurich) and Switzerland West (Geneva), and GCP europe-west6 (Zurich) for storage, training, and inference. For LLMs that must stay in Switzerland we use Azure OpenAI Switzerland North, Anthropic on Bedrock eu-central-2, or self-hosted Llama 3.3 and Mistral on H100 clusters at Equinix Zurich (ZH4, ZH5) and Interxion Zurich. Cross-border to EU regions (eu-central-1 Frankfurt) is acceptable for non-banking-secrecy workloads under the EU adequacy decision and a documented Auftragsverarbeitungsvertrag. Cross-border to US is acceptable only after a Transfer Impact Assessment, a Data Privacy Framework-certified recipient, and a FINMA outsourcing notification where applicable. Residency is documented in the model card, FADP processing record, and Auslagerungs-Inventar.

When a project requires genuine research (novel architectures, optimal transport, geometric deep learning, theorem-proving AI, neuroscience-grade brain-computer interface work), we scope collaborations with ETH AI Center, EPFL CIS, or the University of Zurich AI lab rather than overselling in-house capability. Our core team handles applied engineering, MLOps, and productionisation, which is where most Zurich AI projects actually stall, particularly when an ETH or EPFL spinout (Cevotec, MindMaze, Daedalean) hits the production-readiness wall. For standard work (RAG, fine-tuning, classical ML, computer vision on known architectures) no academic partner is needed. We will tell you up front which bucket your problem fits into and have introduced Zurich clients to ETH AI Center industry-engagement programmes when budget and roadmap fit.

Yes. We have scoped clinical AI for trial-recruitment, real-world evidence, dermatology, hearing-loss screening, neurorehabilitation, and surgical-robotics decision support. Where the software is positioned as a medical device, we run the build through Swissmedic Medizinprodukteverordnung (MepV) Class IIa or IIb, Heilmittelgesetz (HMG), and EU MDR Regulation (EU) 2017/745 under the Mutual Recognition Agreement framework (currently lapsed for medtech since 2021, so EU CE marking requires an EU-based Authorised Representative). IEC 62304 software lifecycle, ISO 13485 quality management, ISO 14971 risk management, and ISO 14155 clinical investigation feed the conformity assessment. FDA 510(k) is scoped separately where US distribution is in scope. All training and inference stay inside Switzerland or EU regions under FADP Article 6 (formerly Article 3) special-category handling.

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Other Services We Offer in Zurich

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LLM IntegrationAI AutomationComputer VisionPredictive AnalyticsAI Chatbot Development

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Zurich runs one of the densest AI research and engineering clusters in Europe, anchored by Google's largest non-US engineering office (more than 5,000 engineers at Europaallee and Sihlpost, with heavy AI/ML, Search, YouTube ML, and DeepMind-affiliated teams), Meta Zurich at Giesshübelstrasse, Microsoft Zurich's mixed reality and AI group, Apple Zurich's small but elite ML team out of the FaceShift and Spectral Edge acquisitions, NVIDIA Zurich, Disney Research Zurich on Stampfenbachstrasse (computer graphics and animation AI), and IBM Research Zurich in Rüschlikon (heritage going back to 1956, with Nobel and Turing-grade output). ETH Zurich and EPFL in Lausanne sit at the top of European AI research rankings, feeding Cevotec, MindMaze, Sonova, and the Swiss bank AI estates at UBS, Julius Baer, Pictet, and Vontobel. Codazz builds production AI and ML systems for Zurich and Geneva private banks, Swiss insurers (Zurich Insurance, Swiss Re, Swiss Life, Helvetia), pharma in Basel (Roche, Novartis), and the medtech corridor (Sonova, MindMaze, Straumann). Our engineers ship inside AWS eu-central-2 (Zurich) and Azure Switzerland North for FADP and FINMA Circular 18/3-compliant Swiss-resident inference, deliver model cards, DPIAs, and FINMA-aligned outsourcing notifications, and work CET hours from Chandigarh with on-site coordination in Zurich and Geneva. We do not pretend to compete with Google Zurich or IBM Rüschlikon on research; we ship the applied production layer most Swiss enterprises actually need.

NDA on Day 1
Fixed-Price Guarantee
48hr Proposal
Secure Data Residency
Average response time: 4 hours
Selected Projects

Latest Work

📱 Mobile Apps🌐 Web Platforms🤖 AI Products💰 FinTech🏥 HealthTech🛒 E-Commerce📚 EdTech🚚 Logistics🏠 Real Estate🎮 Gaming
📱 Mobile Apps🌐 Web Platforms🤖 AI Products💰 FinTech🏥 HealthTech🛒 E-Commerce📚 EdTech🚚 Logistics🏠 Real Estate🎮 Gaming
Web Design3D Animation
01

Rapida

Delivery Service Platform

A high-performance delivery platform with real-time tracking and immersive 3D visualizations.

UI/UXSecurity
02

Fynsec

Cybersecurity Dashboard

Enterprise-grade security dashboard with real-time threat monitoring and analytics.

E-CommerceCreative
03

Pallet Ross

Art Marketplace

A curated marketplace connecting artists with collectors worldwide.

Mobile DevFlutter
04

Rapida Mobile

iOS/Android App

Cross-platform mobile experience with seamless delivery tracking and notifications.

APIMicroservices
05

Fynsec API

Backend Infrastructure

Scalable microservices architecture handling millions of security events daily.

Admin PanelAnalytics
06

Pallet Ross Admin

CMS Dashboard

Comprehensive content management system with advanced analytics and reporting.

01 / 06

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Our Work

Products That Users Actually Love.

200+ products shipped across fintech, healthcare, e-commerce, and SaaS — built to scale, designed to convert.

Mobile App

FinTech Trading Platform

FinTech Startup

Results
2.1B+ Transactions
50ms Latency
4.8★ Rating
Technology
React NativeNode.jsAWS
Healthcare App

Telehealth Solution

Healthcare Network

Results
120+ Clinics
500K Consultations
HIPAA Certified
Technology
SwiftKotlinGCP
Mobile Platform

E-Commerce Marketplace

E-Commerce Brand

Results
85K MAU
28% Conversion
$12M GMV
Technology
FlutterGoMongoDB