Skip to main content
Generative AI Consulting

Generative AI Company in Seattle

An app development company in Seattle must ship cloud-native architecture, ML features and retail-scale reliability — the bar set by Amazon and Microsoft's backyard. Codazz builds SaaS platforms, AI copilots and commerce apps for Pacific Northwest clients from Edmonton and Chandigarh, with Pacific time overlap, fixed-price quotes and 55+ Washington projects delivered.

2018
Founded
500+
Projects Delivered
200+
Engineers, Edmonton + Chandigarh
24/7
Build Coverage

Get Your Custom Project Plan

Share your project details — a senior engineer responds within 4 hours.

🔒NDA Protected
⚡4hr Response
💬Free Consultation
Codazz — Top Generative AI Company on Clutch 2026
4.9/5
Clutch Rating
500+
Projects Delivered
ISO
27001 Certified
SOC II
Compliant
99%
Client Satisfaction
AWS Advanced Tier PartnerSOC II CompliantISO 27001 CertifiedWebby Award Honoree
Service Overview

Generative AI Solutions for Seattle Businesses

Seattle generative AI sits inside the city that built modern cloud and the city where most foundation model infrastructure now runs. AWS, headquartered in Seattle, hosts Anthropic Claude on Bedrock under a multi-billion-dollar investment, runs the Trainium and Inferentia silicon programs out of Annapurna Labs, and operates the largest concentration of generative AI engineering talent on Earth. Microsoft (Redmond) runs Azure OpenAI, the Phi small-model program, and Microsoft Research Redmond, which has shipped fundamental work on retrieval, reasoning, and small-language-model distillation. The Allen Institute for AI (AI2, Seattle) ships OLMo, Tulu, and the OpenInstruct framework as open-weight references, the University of Washington Allen School ranks consistently top-five for AI in the US, and Amazon AGI (Seattle) recruits against that bench. Boeing (Renton 737, Everett 777), Starbucks, Costco (Issaquah), Nordstrom, Expedia Group, T-Mobile USA, Zillow, Tableau (Salesforce Seattle), F5 Networks, Funko, REI Co-op, Russell Investments, and Fred Hutchinson Cancer Center drive enterprise generative AI demand at scale. Codazz builds production generative AI for Seattle cloud-native teams, eCommerce and travel platforms, aerospace primes, biotech and cancer research, gaming studios (Bungie Bellevue, ArenaNet, Valve Bellevue), and consumer brands. We ship RAG, code copilots, document automation, support deflection, and custom LLM integrations under the Washington Privacy Act (effective July 2023 elements, expanded 2025), the My Health My Data Act (effective March 2024, the strictest US consumer health data law outside HIPAA), HIPAA where applicable, and the Boeing-driven aerospace cybersecurity standards (NIST 800-171 CUI, DO-326A airworthiness security). Pricing is USD, fixed-fee.

An app development company in Seattle must ship cloud-native architecture, ML features and retail-scale reliability — the bar set by Amazon and Microsoft's backyard. Codazz builds SaaS platforms, AI copilots and commerce apps for Pacific Northwest clients from Edmonton and Chandigarh, with Pacific time overlap, fixed-price quotes and 55+ Washington projects delivered.

Why Generative AI in Seattle?

Seattle, Washington is a thriving hub for technology and innovation. Businesses here demand top-tier generative ai solutions that can compete on a global stage while addressing local market needs. Our team combines deep technical expertise with an understanding of Seattle'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

Generative AI Services We Offer in Seattle

Seattle generative AI buyers expect cloud-native engineering by default. AWS, Microsoft, and Amazon AGI engineers set a high bar on RAG architecture, eval harness rigor, and prompt injection defence, and Allen Institute for AI publishes the open-weight references the local market measures against. Our services build to that bar. We design and build RAG pipelines on AWS Bedrock (Anthropic Claude, Meta Llama, Mistral, Amazon Nova) in us-west-2 (Oregon, the closest commercial region with single-digit-millisecond round trip from Seattle), Azure OpenAI in West US 2 (Quincy WA) and West US 3 (Phoenix), fine-tune open-weight models (Llama 3.1 and 3.3, Mistral Large, Qwen 2.5, AI2 OLMo and Tulu) on client data where hosted frontier models fail residency or audit, ship internal copilots with explicit consent surfaces required by the My Health My Data Act for any consumer health data in scope, and stand up evaluation harnesses (LangSmith, Braintrust, Promptfoo, AI2 Inspect framework, OLMES) that run before every production push. Every engagement ships a model card, a prompt injection threat model, and a logging design that the client's MRM, clinical, or privacy team can sign off without a second vendor.

01
📝

Text Generation

Intelligent text generation systems for content creation, summarization, translation, chatbots, and personalized messaging powered by GPT-4o, Claude, and fine-tuned models.

Content AutomationSummarizationTranslationChatbots
02
🎨

Image & Video Generation

AI-powered visual content creation using DALL-E, Stable Diffusion, Midjourney API, and custom fine-tuned models for product images, marketing visuals, and video.

DALL-EStable DiffusionMidjourneyVideo Gen
03
💬

AI Chatbots & Assistants

Custom AI chatbots and virtual assistants trained on your domain data. Multi-turn conversations, tool calling, knowledge base integration, and human-in-the-loop escalation.

GPT-4oClaudeRAGTool CallingHITL
04
💻

Code Generation & Copilots

Build custom code generation tools, development copilots, and automated testing assistants that accelerate your engineering team's velocity.

Code GenAuto TestingDocumentationCode Review
05
⚙️

Content Automation Pipelines

End-to-end content generation pipelines that produce, review, approve, and publish content at scale with human oversight and quality controls.

Pipeline OrchestrationQuality ControlBrand VoiceMulti-Channel
06
🧪

Fine-Tuning & Custom Models

Fine-tune open-source and commercial LLMs on your domain data for superior performance, lower costs, and complete data privacy.

LoRAQLoRARLHFDomain TuningEvaluation
🛡️

Safety & Guardrails

Content filtering, toxicity detection, PII redaction, and hallucination mitigation built into every system. 99.5% content safety rate.

💰

Cost Optimized

Intelligent model routing, caching, batching, and model selection that reduces LLM API costs by 40-70% without sacrificing quality.

🔒

Data Privacy First

On-premise deployment options, private model hosting, and enterprise data handling that keeps your proprietary data secure.

📊

Measurable ROI

Every project includes success metrics, A/B testing frameworks, and performance dashboards to demonstrate clear business value.

Industry Expertise

Generative AI for Seattle's Key Industries

Seattle generative AI demand concentrates in four verticals we have shipped against. In cloud-native, eCommerce, and travel, Amazon (Seattle HQ), Microsoft (Redmond), Expedia Group, Zillow, Tableau (Salesforce Seattle), Funko, REI Co-op, Costco (Issaquah), and Nordstrom deploy product knowledge copilots, support deflection, marketing content generation, code copilots, and personalisation engines at hyperscaler-pattern scale. We pattern after public engineering work from these teams and the Allen Institute for AI rather than reinventing the eval harness. In aerospace and defense, Boeing (Renton 737, Everett 777, Seattle), Aerojet Rocketdyne (Redmond), Blue Origin (Kent), and SpaceX Redmond Starlink operate engineering knowledge copilots, regulatory submission automation (FAA AC 25-19, MIL-STD compliance), and supply chain copilots under NIST 800-171 CUI, DO-326A, ITAR or EAR. In biotech, cancer research, and health systems, Fred Hutchinson Cancer Center, Seattle Children's Hospital, UW Medicine (Harborview, UWMC, Northwest), Providence (Renton HQ), Premera Blue Cross, and Amazon Health Services deploy clinical summarisation, prior authorisation drafting, oncology research copilots, and patient-facing assistants under HIPAA, the My Health My Data Act, and the FDA January 2025 AI-enabled device software draft. In gaming and entertainment, Bungie (Bellevue), ArenaNet (Bellevue), Valve (Bellevue), Niantic Seattle, and Wizards of the Coast (Renton) deploy NPC dialog, content moderation, anti-cheat, and code copilots.

☁️
Cloud ComputingGenerative AI Solutions
🤖
AI & MLGenerative AI Solutions
🛒
E-CommerceGenerative AI Solutions →
🚀
AerospaceGenerative AI Solutions
🎮
GamingGenerative AI Solutions
Our Process

Our Generative AI Development Process

We run discovery, design, and validation on PT so Seattle product, engineering, privacy, and risk teams get synchronous standups, not overnight handoffs. Discovery opens with a use-case risk classification. For consumer health data at Fred Hutchinson Cancer Center, Seattle Children's, UW Medicine, Providence (Renton HQ), Premera Blue Cross (Mountlake Terrace), or any wellness app under Amazon Health Services we map the My Health My Data Act (MHMD, effective March 31 2024 for regulated entities, June 30 2024 for small businesses) obligations: consent before collection, separate authorisation before sale, geofence prohibition near healthcare facilities, deletion rights, and a published consumer health data privacy policy. For Washington residents broadly we map the Washington Privacy Act elements that took effect, the Washington Biometric Identifier law (RCW 19.375, the 2017 statute predating Illinois BIPA expansion), and the Children's Code (HB 1175) for minors. For Boeing and aerospace adjacent work we map NIST 800-171 CUI controls, the FAA-aligned DO-326A airworthiness cybersecurity, and ITAR or EAR scope where applicable. Build sprints are two weeks.

01

Discovery

1–2 weeks

We map the business problem, the users and the constraints, then agree what success looks like in numbers.

Deliverables
Scope documentFixed-price quote
02

Design & architecture

2–4 weeks

Flows, interface design and a clickable prototype, so the hard decisions are settled before engineering starts.

Deliverables
Clickable prototypeTechnical architecture
03

Build

8–16 weeks

Two-week sprints against a fixed scope. You see working software every fortnight, not a status report.

Deliverables
Sprint demosAutomated tests
04

Launch

1–2 weeks

Load testing, security review, migration and a rollout plan — with someone from the build team on call.

Deliverables
Security reviewRollout plan
05

Support & scale

Ongoing

Monitoring, iteration and a support SLA. Most clients keep building with us long after go-live.

Deliverables
MonitoringSupport SLA
Technology

Technologies We Use for Generative AI

Seattle generative AI stacks default to AWS us-west-2 (Oregon) as the closest commercial region with single-digit-millisecond round trip from Seattle, with AWS us-west-1 (N. California) as the second tier. Azure ships through West US 2 (Quincy WA, ironically inside Washington State itself) and West US 3 (Phoenix AZ). For workloads that require AWS Inferentia or Trainium for cost-optimized inference (Anthropic Claude on Bedrock, Llama and Mistral self-hosted) we deploy through SageMaker or EC2 Trn1 and Inf2 instances in us-west-2. For Microsoft-stack clients we route through Azure OpenAI in West US 2 with private endpoints into the client's VNet. Vector stores route through pgvector on Aurora PostgreSQL, OpenSearch Serverless, Pinecone, or Weaviate. Eval harnesses use LangSmith, Braintrust, Promptfoo, Inspect (UK AISI), and the AI2 OLMES evaluation framework when benchmarking open-weight models. Prompt injection defences use Lakera Guard, NVIDIA NeMo Guardrails, AWS Bedrock Guardrails, or in-house structured-output enforcement. Logging routes through AWS CloudTrail, Splunk, or the client's existing SIEM with immutable retention satisfying MHMD audit requirements, HIPAA 45 CFR 164.312(b), or aerospace cybersecurity expectations.

Foundation Models
GPT-4oClaude 4Gemini ProLlama 3MistralCohere
Why Choose Us

Why Seattle Businesses Choose Codazz for Generative AI

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

☁️

AWS & Azure Native

Built against the patterns AWS Bedrock, SageMaker, Trainium, and Inferentia engineers in Seattle actually ship, and the Azure OpenAI architecture Microsoft Redmond runs in West US 2. AI2 OLMo, Tulu, and OLMES references are baked into the eval harness when open-weight is the right call. Single-digit-millisecond round trip to us-west-2 keeps inference latency negligible.

🏥

MHMD & HIPAA Native

Every consumer health surface ships with My Health My Data Act consent, deletion APIs, geofence prohibition near healthcare facilities, and a published consumer health data privacy policy. Clinical deployments for Fred Hutchinson, UW Medicine, Seattle Children's, Providence, and Premera ship with HIPAA BAA, immutable audit logs, and FDA AI-enabled device software alignment.

✈️

Aerospace CUI Cleared

Boeing, Aerojet Rocketdyne, Blue Origin, and SpaceX Redmond Starlink engineering knowledge copilots, FAA regulatory submission automation, and supply chain copilots ship under NIST 800-171 Rev 2, forthcoming CMMC 2.0 Level 2, DO-326A airworthiness cybersecurity, and ITAR or EAR scoping with US person staffing called out at kickoff.

🎮

Gaming Studio Aware

Bungie, ArenaNet, Valve, Niantic Seattle, and Wizards of the Coast NPC dialog, content moderation, anti-cheat copilots, and code copilots ship with COPPA controls for under-13 users, the Washington Children's Code (HB 1175), and the Allen AI open-weight references when training data transparency matters. PT overlap means synchronous standups with the studio's engineering team.

📍

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 34 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 generative ai capabilities.

Codazz digital banking platform — real-time payments and biometric auth
💳
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
Codazz omnichannel retail platform — headless commerce across 12 channels
🛒
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
Codazz HIPAA-compliant telehealth and patient portal platform
🏥
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

Case studies for Generative AI

FAQs

Frequently Asked Questions About Generative AI in Seattle

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

Ask a Question
How much does generative AI development cost in Seattle?

Pricing follows the engagement, which is typically one of: a scoped Seattle generative AI proof of concept, a custom production copilot (Expedia trip planner, Zillow listing summariser, Fred Hutch oncology research copilot, Boeing engineering knowledge assistant, Microsoft-stack internal RAG, Costco merchant operations copilot), or full production generative AI systems with multi-step agents, multiple models, fine-tuning, and enterprise integrations. Scope drivers include data audit, a RAG baseline or fine-tuned model, an evaluation harness, MHMD or HIPAA scoping if applicable, and a hosted demo with logging. Seattle rates sit slightly above Austin and at parity with Boston and New York because of the Amazon, Microsoft, and Allen AI talent premium. We quote fixed-fee in USD against a signed scope.

How does the My Health My Data Act affect generative AI design?

Washington's My Health My Data Act (RCW 19.373), effective March 31 2024 for regulated entities and June 30 2024 for small businesses, is the strictest US consumer health data law outside HIPAA. It defines consumer health data broadly (biometric data, health condition inference, gender-affirming care, reproductive care, mental health, location near a healthcare facility, and any data that identifies a consumer's past, present, or future physical or mental health) and applies to any entity that conducts business in Washington or targets Washington residents, regardless of HIPAA covered-entity status. Obligations include consent before collection, separate authorisation before sale, prohibition on geofences within 2,000 feet of healthcare facilities for targeted advertising, deletion rights, and a published consumer health data privacy policy. Private right of action under the Washington Consumer Protection Act allows triple damages. For generative AI this means any copilot that infers health (a wellness app, a fitness coach bot, a customer support bot answering health questions, a pharmacy assistant) is in scope. We design consent surfaces, deletion APIs, and logging in by default.

Can you build for Boeing or aerospace generative AI under NIST 800-171?

Yes, within scope. Boeing (Renton 737 final assembly, Everett 777 and 767 final assembly, Seattle commercial HQ), Aerojet Rocketdyne (Redmond), Blue Origin (Kent), and SpaceX Redmond Starlink operate engineering knowledge copilots, regulatory submission automation (FAA AC 25-19 for transport category airworthiness, MIL-STD compliance), supply chain copilots, and code assistants on Controlled Unclassified Information (CUI) under NIST 800-171 Rev 2 (and forthcoming CMMC 2.0 Level 2 for DoD contractors), DO-326A airworthiness cybersecurity, and ITAR (22 CFR 120-130) or EAR (15 CFR 730-774) where applicable. Commercial-only and unclassified work routes through our standard delivery hubs. ITAR or EAR-scoped work routes through US person staffing on US soil and we say so plainly during scoping, including any restrictions on Edmonton or Chandigarh hub involvement. Most engineering knowledge copilot work is commercial-only and routes normally.

Can you build clinical AI for Fred Hutchinson, UW Medicine, or Seattle Children's?

Yes. We ship clinical summarisation, discharge note drafting, prior authorisation generation, oncology research copilots, and patient-facing assistants for Fred Hutchinson Cancer Center, UW Medicine (Harborview, UWMC, Northwest, Valley), Seattle Children's Hospital, Providence (Renton HQ, 51 hospitals across 7 states), Premera Blue Cross, and Amazon Health Services. We sign Business Associate Agreements aligned with each system's template, route PHI exclusively through HIPAA-eligible AWS Bedrock or Azure OpenAI configurations in us-west-2 or West US 2, ship immutable audit logs satisfying 45 CFR 164.312(b), build explicit consent surfaces tied to the clinical workflow, layer the My Health My Data Act controls for any consumer-facing surface, and run prompt injection red-teaming before production push. The FDA January 2025 draft guidance on AI-enabled device software functions and the HHS OCR 2024 AI guidance are mapped into the design pack.

Do you work with the Allen Institute for AI, Microsoft Research, or the UW Allen School?

When a project requires genuine research (novel architectures, interpretability, alignment, formal verification, rare-event detection) we scope collaborations with the Allen Institute for AI (AI2), Microsoft Research Redmond, the UW Paul G. Allen School of Computer Science, or Seattle University faculty rather than overselling in-house capability. The AI2 OLMo, Tulu, and OpenInstruct open-weight releases are excellent reference points for any project that values transparent training data and reproducible evaluation, and we will recommend them where they fit. Our core team handles applied engineering, RAG, fine-tuning, eval harnesses, MLOps, and productionisation, which is where most Seattle generative AI projects actually stall. For standard work no academic partner is needed. We will tell you up front which bucket your problem fits into.

How do you handle Amazon, Microsoft, and Costco enterprise procurement?

Amazon (Seattle), Microsoft (Redmond), Costco (Issaquah), Nordstrom, Starbucks, T-Mobile USA, Expedia Group, and Zillow all run mature vendor security review programs. Amazon and Microsoft procurement typically pulls SOC 2 Type II, ISO 27001, a populated CAIQ (Cloud Security Alliance Consensus Assessments Initiative Questionnaire) for any SaaS components, a privacy review aligned with Washington Privacy Act and MHMD, and a code-of-conduct attestation. We ship a populated pack with the proposal. For Microsoft-stack clients we route generative AI through Azure OpenAI in West US 2 with Customer Lockbox, Microsoft Purview integration, and a Microsoft Cloud for Sovereignty pattern when sovereignty is in scope. For Amazon-adjacent clients we route through AWS Bedrock in us-west-2 with PrivateLink, AWS Verified Permissions, and CloudTrail to a customer-owned S3 bucket. We have shipped patterns that have cleared these programs and we keep the pack updated.

How long does it take to ship a Seattle generative AI system to production?

A clinical summarisation copilot at Fred Hutchinson, UW Medicine, Seattle Children's, or Providence scale takes sixteen to twenty-eight weeks from kickoff to production, including HIPAA BAA, MHMD controls, prompt injection red-teaming, and integration with Epic. An aerospace engineering knowledge copilot at Boeing scale takes eighteen to thirty weeks including NIST 800-171 CUI controls, DO-326A airworthiness alignment, and ITAR or EAR scoping. An eCommerce or travel copilot at Amazon, Expedia, Zillow, or Costco scale takes ten to twenty weeks. A gaming NPC or content moderation copilot at Bungie, ArenaNet, Valve, or Niantic Seattle scale takes eight to eighteen weeks. Fixed-fee.

How does Washington tax structure affect generative AI engagement pricing?

Washington has no individual or corporate income tax, which is one reason Amazon, Microsoft, and the broader cloud sector concentrate here. Washington instead levies the Business and Occupation (B&O) tax on gross receipts (rates vary by classification, 0.471% to 1.75%, with technology services typically falling under Service and Other Activities at 1.75% on receipts over $1M annually, with the 2023 surcharge raising it to 2.1% for top earners over $1M in service receipts and adding a 1.22% workforce education surcharge for select advanced computing businesses). Washington sales tax is 6.5% state plus local (10.35% in Seattle), and the Washington DOR has classified prewritten software and some SaaS as subject to sales tax. Custom software design and engineering labor is generally not subject to sales tax under WAC 458-20-15502. We invoice in USD, accept ACH and wire, provide W-9 documentation, and route international clients through Canadian or Indian entities under treaty.

Ready to Build?

Start Your Generative AI Project in Seattle

Seattle generative AI sits inside the city that built modern cloud and the city where most foundation model infrastructure now runs. AWS, headquartered in Seattle, hosts Anthropic Claude on Bedrock under a multi-billion-dollar investment, runs the Trainium and Inferentia silicon programs out of Annapurna Labs, and operates the largest concentration of generative AI engineering talent on Earth. Microsoft (Redmond) runs Azure OpenAI, the Phi small-model program, and Microsoft Research Redmond, which has shipped fundamental work on retrieval, reasoning, and small-language-model distillation. The Allen Institute for AI (AI2, Seattle) ships OLMo, Tulu, and the OpenInstruct framework as open-weight references, the University of Washington Allen School ranks consistently top-five for AI in the US, and Amazon AGI (Seattle) recruits against that bench. Boeing (Renton 737, Everett 777), Starbucks, Costco (Issaquah), Nordstrom, Expedia Group, T-Mobile USA, Zillow, Tableau (Salesforce Seattle), F5 Networks, Funko, REI Co-op, Russell Investments, and Fred Hutchinson Cancer Center drive enterprise generative AI demand at scale. Codazz builds production generative AI for Seattle cloud-native teams, eCommerce and travel platforms, aerospace primes, biotech and cancer research, gaming studios (Bungie Bellevue, ArenaNet, Valve Bellevue), and consumer brands. We ship RAG, code copilots, document automation, support deflection, and custom LLM integrations under the Washington Privacy Act (effective July 2023 elements, expanded 2025), the My Health My Data Act (effective March 2024, the strictest US consumer health data law outside HIPAA), HIPAA where applicable, and the Boeing-driven aerospace cybersecurity standards (NIST 800-171 CUI, DO-326A airworthiness security). Pricing is USD, fixed-fee.

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

Selected Projects

Latest Work

Recent platforms, apps and dashboards we designed, built and shipped.

See the full portfolio

Web Design3D Animation

Rapida · Delivery Service Platform

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

ReactThree.jsNode.js

UI/UXSecurity

Fynsec · Cybersecurity Dashboard

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

Next.jsTypeScriptAWS

E-CommerceCreative

Pallet Ross · Art Marketplace

A curated marketplace connecting artists with collectors worldwide.

ReactStripeMongoDB

Mobile DevFlutter

Rapida Mobile · iOS/Android App

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

FlutterFirebase

APIMicroservices

Fynsec API · Backend Infrastructure

Scalable microservices architecture handling millions of security events daily.

Node.jsDockerKubernetes

Admin PanelAnalytics

Pallet Ross Admin · CMS Dashboard

Comprehensive content management system with advanced analytics and reporting.

Next.jsPostgreSQL

Our Work

Products That Users Actually Love.

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

View all work
FinTech Trading Platform for FinTech Startup

Mobile AppFinTech Startup

FinTech Trading Platform

  • 2.1B+ Transactions
  • 50ms Latency
  • 4.8★ Rating
React NativeNode.jsAWS
Telehealth Solution for Healthcare Network

Healthcare AppHealthcare Network

Telehealth Solution

  • 120+ Clinics
  • 500K Consultations
  • HIPAA Certified
SwiftKotlinGCP
E-Commerce Marketplace for E-Commerce Brand

Mobile PlatformE-Commerce Brand

E-Commerce Marketplace

  • 85K MAU
  • 28% Conversion
  • $12M GMV
FlutterGoMongoDB