Built with Go (Golang), ChromaDB/Qdrant, and Llama 4/DeepSeek-R1. Full-stack AI applications tailored to your business. RAG, semantic search, intelligent automation.
Built exactly for your needs with modern tech stack
Go backend with React/Next.js frontend. High-performance, type-safe applications with modern architecture.
RAG applications with ChromaDB, Qdrant, Milvus. Semantic search, embeddings, and intelligent retrieval.
Web, mobile (iOS/Android), and desktop. Single codebase, native performance, AI-powered features.
Go's concurrency, efficient memory usage, sub-millisecond latency. Built for scale from day one.
Microservices with gRPC, clean architecture, domain-driven design. Easy to maintain and extend.
OAuth2, JWT, encryption at rest, RBAC, audit trails. HIPAA/GDPR/SOC 2 compliant by design.
Battle-tested technologies for high-performance AI applications
Delivering value across diverse industries with AI-powered solutions
AI diagnostic tools, patient management with RAG, telemedicine platforms, medical image analysis
DeepSeek-R1 for medical reasoning, Qwen3 for multilingual support
Trading platforms, fraud detection, robo-advisors, document processing with vector search
Llama 4 for analysis, ChromaDB for document retrieval
Smart recommendations, visual search, personalized shopping, inventory optimization
Qwen3-Coder for API integrations, embedding models for product search
Adaptive learning platforms, AI tutors, automated grading, knowledge base systems
RAG with ChromaDB, fine-tuned models for specific subjects
Contract analysis, legal research assistants, case management, compliance checking
Llama 4 70B for complex reasoning, vector search for precedent finding
AI chatbots, ticket routing, knowledge base search, sentiment analysis
DeepSeek-R1 for reasoning, Qdrant for semantic ticket matching
Why custom development delivers better ROI over the long term
| Factor | Custom Development | SaaS Subscription |
|---|---|---|
| Development Cost | ✓ $18K-$150K (one-time) | $0-$10K setup + ongoing licenses |
| Annual Cost (Year 2+) | ✓ $0 (maintenance optional) | $50K-$500K/year in licenses |
| 5-Year Total Cost | ✓ $18K-$150K + hosting (~$5K-$20K/year) | $250K-$2.5M in subscription fees |
| Customization | ✓ 100% - build exactly what you need | Limited to platform capabilities |
| Data Ownership | ✓ Complete control - your infrastructure | Vendor hosts your data |
| Integration | ✓ Unlimited - any system or API | Limited to available connectors |
| Scalability | ✓ Unlimited - under your control | Limited by tier, per-user costs |
| Time to Market | 6-24 weeks (depends on complexity) | ✓ Immediate (if features exist) |
| Maintenance | Your team (with our support options) | ✓ Vendor managed |
| Vendor Lock-in | ✓ None - you own the code | Complete dependency on vendor |
Choose the tier that matches your project needs
MVP / Proof of Concept
Production-Ready Product
Enterprise-Grade System
Custom Large-Scale System
Everything you need for a successful AI application
Everything you need to know about custom AI development
Go offers superior performance, built-in concurrency with goroutines, and lower memory footprint compared to Python/Node.js. For AI applications handling high throughput (thousands of requests/sec), Go provides 5-10x better performance. We use Go for APIs and business logic, while AI models run via Ollama or Python microservices. This hybrid approach gives you the best of both worlds: fast, reliable infrastructure with powerful AI capabilities.
Vector databases like ChromaDB, Qdrant, and Milvus store embeddings (numerical representations of text/images/audio). They enable semantic search, RAG (Retrieval Augmented Generation), and similarity matching. For example, instead of keyword search, users can ask questions in natural language and get relevant results from your knowledge base. Essential for AI chatbots, document Q&A, recommendation systems, and intelligent search applications.
ChromaDB is open-source and can run embedded (no separate server needed), making it perfect for smaller projects and easy to deploy. Qdrant and Milvus are better for large-scale production with advanced filtering. Pinecone/Weaviate are managed services (vendor-hosted). We typically recommend: ChromaDB for MVPs, Qdrant for production, Milvus for enterprise scale. All are supported, and we help you choose based on your needs and scale.
Absolutely. Go's standard library and ecosystem make it easy to integrate with any system via REST APIs, gRPC, webhooks, or database connectors. We've integrated with Salesforce, SAP, Oracle, MySQL, MongoDB, legacy SOAP services, and more. If it has an API or database connection, we can integrate it. We also build custom ETL pipelines if needed.
You own the complete source code, so you can modify it in-house or hire any developer. We also offer ongoing maintenance and feature development at hourly rates ($100-$150/hour) or monthly retainers ($5K-$15K/month). Many clients start with post-launch support (included for 60-180 days) and then choose a retainer for continuous improvements.
We can deploy models three ways: (1) Use cloud APIs (OpenAI/Anthropic) - you pay per token, (2) Self-host open-source models via Ollama (Llama 4, DeepSeek-R1, Qwen3) - zero API costs, or (3) Hybrid approach. For high-volume apps, self-hosting saves 80-90% vs APIs. We help you calculate costs and choose the most economical approach for your usage patterns.
Yes! We build native apps (Swift/Kotlin), React Native apps (single codebase for both platforms), or Flutter apps. Choice depends on your requirements: native for maximum performance, React Native for code reuse with your web app, Flutter for beautiful UI and cross-platform consistency. All options include full AI integration, offline capabilities, and App Store/Play Store deployment.
We follow agile methodology with 2-week sprints. Requirements changes are normal and expected. For small changes, we accommodate them within the scope. For significant scope changes, we provide updated timelines and costs upfront. You'll see working software every 2 weeks, so you can course-correct early. We prioritize delivering value over rigid adherence to initial specs.
Let's discuss your project and create a tailored AI solution with Go, vector databases, and cutting-edge models.
