Architecture
Distributed systems, integrations and production design.
About ModelsLab
A studio at the intersection of software engineering, agents, voice and generative experiences.
Why ModelsLab
Senior engineers. AI builders. Product thinkers. Decades of enterprise software combined with modern agent, voice and generative systems.
- Architecture
- Backend
- Distributed systems
- Real-time
- Integrations
- Generative AI
- Agents
- Voice
- Automation
- Digital products
AI agents
Tool calling, orchestration, guardrails and evals.
Voice
Telephony, conversation design and contact-center ops.
Generative media
Pipelines, identity consistency and campaign automation.
Product engineering
MVPs, SaaS and the software layer AI sits on.
Engineering principles
Production first
Designed to run in production from day one.
AI where it makes sense
A rule or workflow often beats an LLM.
Secure by design
Permissions, isolation, audit and guardrails.
Observable
Logs, metrics, tracing and evaluation.
Human when needed
Human-in-the-loop when a decision requires it.
Technology agnostic
Tools follow the problem, not the trend.
Technology
Stack as evidence, not as the pitch.
Software
- Node.js
- NestJS
- TypeScript
- C# / .NET
- Python
- Go
Data
- PostgreSQL
- SQL Server
- MySQL
- MongoDB
- Redis
- Vector DBs
AI
- OpenAI
- Anthropic
- Gemini
- Open-source LLMs
- RAG
- MCP
Generative media
- ComfyUI
- Flux
- Stable Diffusion
- LoRA
- ControlNet
Real time
- Kafka
- WebSockets
- Event-driven
Communications
- Twilio
- SIP / VoIP
- ElevenLabs
- Deepgram
Infrastructure
- Docker
- AWS
- Linux
- Windows
What do you want to build?
Tell us what you are trying to solve. We will help you decide what should be software, what should be automated, and where AI actually adds value.
- A working session with an engineer
- Problem, systems and constraints
- A concrete next step — not a pitch deck