Full-Stack Product Engineering — with AI Built In from Day One
We don't just build the machine learning model; we build the enterprise-grade software to deliver it to your users securely and at scale.
Engineering Expertise
AI-Native SaaS Platforms
Building multi-tenant B2B applications where artificial intelligence isn't an afterthought, but the core value proposition of the software.
Enterprise Systems Integration
Architecting secure middleware that connects complex legacy systems (SAP, Oracle) with modern AI APIs and large language models.
High-Performance APIs
Developing low-latency, resilient microservices in Python (FastAPI) or Go to serve complex model inference to millions of end-users.
Modern Web Interfaces
Creating highly responsive, beautifully designed frontends utilizing React, Next.js, and complex state management for real-time AI interactions.
Data Streaming Pipelines
Implementing event-driven architectures with Kafka and Redis to process millions of data points per second into real-time operational dashboards.
Mobile App Development
Bringing AI capabilities to the edge through cross-platform React Native and Flutter applications optimized for offline inference.
Our Engineering Process
01: Architecture Discovery
Defining the system boundaries. We map out database schemas, API contracts, and infrastructure requirements before writing a line of code.
02: UI/UX Prototyping
Translating complex AI capabilities into intuitive, accessible user interfaces using high-fidelity Figma prototypes.
03: Core Development
Sprinting to an MVP. Our full-stack teams build the backend infrastructure concurrently with frontend interfaces.
04: AI Integration
The critical phase: embedding the trained models, setting up real-time streaming interfaces, and configuring caching layers.
05: Stress Testing
Subjecting the system to rigorous load testing, penetration testing, and edge-case simulations to guarantee enterprise-level SLAs.
06: SRE Support
Deploying to production with comprehensive Datadog/Prometheus monitoring. We provide ongoing Site Reliability Engineering support.
The Tools We Trust in Production
We remain stack-agnostic, choosing the right combination of state-of-the-art research models and bulletproof enterprise engineering tools for every project.
AI / ML Frameworks
LLMs & Orchestration
Vector Databases
Cloud & MLOps
Backend & Data
Frontend & Mobile
Sector-Specific Intelligence,
Proven Results
Shipped Products
Automated Clinical Coding UI
Built a fully compliant React dashboard for health system auditors to interact with and overlay our proprietary NLP tagging models.
B2B AI Content Engine
Engineered a multi-tenant SaaS application scaling LLM-generated marketing content to thousands of concurrent users.
Edge Computer Vision App
Developed an offline-first iOS app that runs object detection models natively on-device for remote agricultural field inspections.
Common Questions
Everything you need to know about our research methodology, engagement models, and AI engineering practices.
Yes. If your internal team has strong full-stack capabilities but lacks AI experts, we frequently deliver containerized APIs wrapped around our models for your engineers to integrate.