AI SaaS development company
From AI Product Idea to a Production SaaS Platform.
We build complete AI-enabled SaaS products: model and agent layers, product interfaces, secure APIs, authentication, tenant data, admin controls, deployment, evaluation, and operating visibility.
ORIGINAL CORERIQO LABS DEMONSTRATIONThe operating problem
An AI feature needs a real product and operating model around it.
A model demo does not solve authentication, tenant isolation, permissions, data lifecycle, billing readiness, product UX, abuse prevention, observability, support, or unit economics. Those systems determine whether an AI product can launch and grow.
How CoreRiqo Labs engineers the solution
We define the smallest valuable product, test the AI risk early, then engineer the product interface, backend, data model, model gateway, evaluation, security, cloud deployment, and admin operations as one coherent platform.
Engineering scope
Capabilities built into the system.
LLM, agent, ML, or vision integration
Web application and product UX
Secure APIs and backend systems
Authentication, tenant isolation, and admin controls
Cloud deployment, evaluation, and observability
Reference architecture
Designed beyond the model layer.
A production AI system needs data, interfaces, controls, evaluation, deployment, and ownership—not only a model API.
- 01Product interface and authenticated user journey
- 02API gateway, permissions, and rate control
- 03AI orchestration and model routing
- 04Application data, vector data, and tenant isolation
- 05Evaluation, feedback, cost, and usage analytics
- 06Cloud deployment, monitoring, and release workflow
Where it creates value
Practical applications.
Vertical AI products
Build specialized software around a defensible workflow, dataset, and user experience.
AI copilots inside SaaS
Add grounded, tool-using assistance to an existing product without weakening permissions.
Document and knowledge platforms
Turn ingestion, extraction, search, review, and collaboration into a customer-facing product.
Vision and multimodal platforms
Deliver image, video, document, and sensor intelligence through a usable web product.
Typical technology stack
React / Next.js · FastAPI · Python · PostgreSQL / MongoDB · pgvector · AWS · Docker · CI/CD · OpenAI / Anthropic / open models
Service FAQ
Questions before a build begins.
Can you build both the AI and the web product?
Yes. We connect product design, frontend, backend, data, AI engineering, deployment, and operating controls.
Can you improve an existing MVP?
Yes. We can audit architecture, security, reliability, AI quality, latency, model cost, UX, and the path to production.
Will we own the product code?
Project ownership and handover are defined in the engagement. Our normal delivery includes source code, deployment assets, documentation, and operational guidance.
Start with the workflow
Bring us the business problem.
In a focused 30-minute consultation, we will discuss the users, workflow, data, integrations, risk, and the smallest useful next step.
Book your consultation