LegalTech · AILed by our co-founder at CadreODR
CadreAI
Multi-tenant SaaS that lets teams create, configure and deploy custom agents, knowledge bases and RAG flows for case automation.
- Python
- FastAPI
- RAG
- AI agents
- Multi-tenant
- GCP / AWS
AI Engineering
AI as an engineering capability, not a slide.
We build AI features and products that work with real users and real data — and the software around them that makes them reliable. We use leading foundation models; we don't sell proprietary ones.
What we build
Practical AI, built into the product.
LLM integration
Add model-powered features to an existing product, stack and auth model.
RAG systems
Answer questions from your own documents and data, with sources.
AI agents
Multi-step workflows that call your tools and APIs, with human checkpoints.
Document intelligence
Classify, extract from and summarize contracts, forms and records.
AI automation
Remove repetitive manual steps from existing business processes.
Internal AI tools
Assistants and search for your team, grounded in company knowledge.
AI-powered SaaS features
Multi-tenant AI features that hold up across every customer.
Evaluation & monitoring
Measure quality before and after every change, in production.
Production, not demos
Most of the work is the engineering around the model.
A demo only has to work once. A product feature has to work every day, for every user, at a cost that makes sense.
- Evaluation sets that measure quality before and after every change
- Guardrails, validation and fallbacks for when the model is wrong
- Cost and latency budgets that hold up at real usage
- Data privacy and access control around what the model can see
- Logging and monitoring of prompts, outputs and failures
- The surrounding product: auth, UI, APIs, queues and storage
AI work
AI systems we've built.
GovTech · AIFounder-built product
TenderDraft
An autonomous agent that drafts competitive tender bids for the UK market.
- Agentic AI
- Document intelligence
- LLM
Data · AIConsulting engagement
MeghGen
Agentic RAG systems for data engineering, with cloud-native pipelines that turn raw data into query-ready knowledge.
- Agentic RAG
- LLM workflows
- Data pipelines
- Cloud
Not every problem needs AI.
Start with the workflow and the outcome you want. If a simpler, deterministic solution does the job better, we'll tell you.
Prefer email? info@vertexlab.com.np