About CogniCode
We build complex apps, intelligent features, and the infrastructure to run them at scale.
Why We Built Three Teams
Most companies specialize in one area. Agencies build beautiful apps that struggle under real-world complexity. ML consultants create models that never make it to production. Infrastructure teams build scalable systems without understanding the product.
We saw this pattern repeatedly: excellent apps without intelligent features, powerful algorithms that couldn't scale, and infrastructure built in isolation from the product vision.
We built all three teams because that's the only way to deliver what we promise: high-performance apps with natively integrated intelligent features that scale from prototype to millions of users.
Our Three Teams
Unapologetically an engineering company. Leadership actively codes. Projects are managed by experienced engineers and scientists who understand both technical complexity and business requirements.
Application Development
We build high-performance web and mobile applications designed for complexity, not just good looks. Our full-time designers collaborate with engineers from day one to create interfaces that are both intuitive and technically sophisticated.
What We Build:
- • Custom web and mobile applications
- • Complex enterprise systems
- • Real-time and performance-critical apps
- • Embedded and native solutions
Industries:
- • Healthcare and finance
- • E-commerce and logistics
- • Entertainment and media
- • Travel, health, and fitness
Machine Learning
We don't wrap existing APIs or fine-tune someone else's models. Our ML engineers and researchers build novel algorithms from scratch, optimized for performance and designed to learn your specific business goals. Over years of development went into our production ML services.
Capabilities:
- • Intelligent search systems
- • Recommendation engines
- • Computer vision and object detection
- • Real-time streaming inference
Approach:
- • Goals-based learning
- • Ultra low inference latency
- • Custom-built architectures
- • Production-ready from day one
Infrastructure Engineering
The hidden work that makes everything else possible. We build production systems that scale from MVP to millions of users without rebuilding. Our infrastructure engineers ensure your applications perform reliably under real-world conditions while optimizing for cost efficiency.
What We Handle:
- • Scalable cloud architecture
- • Database design and optimization
- • DevOps and CI/CD pipelines
- • Performance monitoring and cost optimization
Environments:
- • AWS, GCP, Azure
- • Hybrid and on-prem
- • Distributed systems and orchestration
- • Custom infrastructure solutions
How We Work Together
Cross-Team Collaboration from Day One
Designers, ML engineers, and developers work together from project inception. This ensures intelligent features are natively integrated, not bolted on as an afterthought. Infrastructure is designed around the product vision, not generic patterns.
Battle-Tested Solutions to Hard Problems
We've already solved the hard engineering problems that slow down most projects. Authentication, caching, data pipelines, multithreading, database syncing. For each client, we implement these solutions custom-tailored to your needs.
Engineering-First Culture
Our leadership codes. Projects are managed by engineers who understand production systems, not account managers reading from scripts. When you talk to us, you're talking to the people actually building your solution.
Built to Scale Without Rebuilding
Whether you're building an MVP or modernizing an app with millions of users, we use the same architecture that handles enterprise scale. No costly rewrites as you grow.
Our Technical Approach
Performance is non-negotiable. We leverage low-level languages like Rust/C++ when speed is critical, and modern frameworks when developer velocity matters more. The common thread is custom solutions optimized for your specific requirements, not generic tools that force you to compromise.
We've worked across web, mobile, cloud, embedded systems, and production infrastructure. We've built ML models from scratch and optimized databases to handle millions of queries. We've debugged performance bottlenecks in real-time systems and designed APIs that scale.
The right tool for the job, not the trendy tool. Custom-built for your requirements, not adapted from someone else's solution.
Web & Mobile
Swift, Kotlin, React & NextJs, Svelte, WASM, and custom native solutions when performance demands it.
ML & Data
Built form the ground up for high performance and high accuracy. We have deployed everywhere. On the client, on custom servers, embedded in micro controllers? We can help.
Infrastructure
GCP, AWS, Azure, and bare metal when needed. We prefer to be cloud agnostic and containerize all infrastructure with custom orchestration. Or use IaC/Kubernetes when appropriate.
Our Track Record
Years in Production
Delivering integrated solutions that merge applications and ML across industries. Every algorithm, every optimization, every edge case solved through real-world production challenges.
Years R&D on Our ML Platform
A full engineering team dedicated to building our ML services from scratch. Novel algorithms, custom architectures, and performance that consistently outperforms industry standards.
