We Build AI-Native Platforms
From concept to production-ready AI products. Data-connected, intelligent, and built to scale.
Building AI products is hard
Most teams spend months wiring together APIs, managing data pipelines, and debugging model integrations. We shortcut this by building full AI platforms with battle-tested architecture.
- Data ingestion from 20+ source types with automatic processing
- Multi-LLM orchestration with model switching and cost control
- RAG pipelines with vector search, citations, and source attribution
- Production-grade UIs with real-time streaming and artifact generation
- Infrastructure for scale — Kafka, Redis, PostgreSQL, vector DBs
What We Build
Custom AI Products
Full-stack AI applications with intelligent interfaces, data processing, and model orchestration.
Data-Connected Systems
Ingest, process, and query data from databases, documents, APIs, and web sources.
Web & API Platforms
Production-ready web apps, APIs, and dashboards with modern frontend and backend architecture.
Multi-Model Architecture
Support for multiple LLM providers with dynamic routing, fallbacks, and cost optimization.
Enterprise Security
Auth, RBAC, encryption, audit logs, and compliance-ready infrastructure.
Real-Time Processing
Streaming responses, live data updates, and event-driven architectures.
Use Cases
AI-Powered Knowledge Platform
A company needed to let employees query internal documents, databases, and wikis in natural language. We built a full platform with cited answers and export capabilities.
Data Analytics Dashboard with AI
Built a platform that connects to multiple data sources, provides AI-generated insights, and creates automated reports with visualizations.
Multi-Tenant SaaS with AI Features
Developed a B2B SaaS platform with embedded AI capabilities — document processing, intelligent search, and automated content generation.
Internal AI Workspace
Created an internal workspace where teams can upload data, ask questions, and generate presentations, spreadsheets, and documents from their business data.
How We Work
Discovery
We understand your data, users, and goals. Output: architecture proposal.
Build
Iterative development with weekly demos. Backend, frontend, and AI components in parallel.
Ship
Deploy to production with monitoring, logging, and observability.
Evolve
Ongoing iterations, new features, and model upgrades.
Why DataTamer
Built by People Who Ship AI Systems
We don't just advise on AI — we build, deploy, and operate AI products every day
We Ship AI Products
We build and operate our own AI platform. This isn't theory — it's daily practice.
Product DNA, Not Consultancy
Engineering-first team that ships code, not slide decks.
Data-Connected AI Expertise
Deep experience with data ingestion, retrieval, vector search, and multi-source intelligence.
Strong UX & Platform Craft
Premium interfaces and product experiences, not generic dashboards.
Concept to Production
From initial architecture to deployed, monitored production systems.
Modern Stack Execution
Next.js, React, Python, Kafka, vector DBs, multi-LLM orchestration — battle-tested.
Start Your AI Project
Tell us what you're building. We'll review and get back within 24 hours.
Book a Strategy Call
30-minute call to discuss your project, requirements, and how we can help.