NORA
AI gets smarter every day. Does your organization?
From scattered data to trusted intelligence. Nora builds trusted, customized AI for your organization — from consulting and data foundation to custom-built systems and training your team.
45 minutes — we look at where your data is and how ready it is. No obligation.
Built by engineers from
What were the Q3 payment terms agreed with Vendor X?
Finance Manager · Access: Finance
Net 45, revised from Net 30 in the March amendment.
Operations Staff · Access: General
This answer requires documents you don't have access to.
Most organizations hit the same four walls.
- 01
Data Foundation
Your data isn't in a form AI can use. It's scattered across systems, formats, and a few key people's heads — each team with its own IDs and file formats, nothing connecting them. AI can't work on top of that, and what the organization knows walks out the door when people leave.
- 02
Cost & Confidence
When data isn't ready, you pay more per answer and trust it less. Irrelevant context inflates the cost of every question, answers come back incomplete or confidently wrong, and nothing can be traced back to a source document.
- 03
Industry Challenges
Every industry has different constraints. Some data is too sensitive for public models, some work needs real-time answers, some decisions must stay with people. One-size-fits-all AI isn't wrong — it just isn't deep enough for your specific problems.
- 04
Human Readiness
Technology stops at the readiness of your people. Licenses get bought; a handful of people use them. Without training and workflows that fit real work, the investment stalls — while AI itself keeps advancing.
What we do
Four services, one path — from scattered data to trusted intelligence.
- 01 CONSULTING
Full Consulting Services
We assess your organization's AI readiness — data, systems, processes, and people — and rank the opportunities by real return. You get a roadmap ordered by ROI before you invest in any tool.
Why it matters — The right first move depends on where you stand today and where AI is heading — most failed AI projects started at the wrong step.
- 02 DATA FOUNDATION
Data Foundation
We turn scattered files and systems into one governed Knowledge Graph of your organization — AI-ready, with access rights traveling with the data.
Why it matters — AI is only as trustworthy as the data underneath it.
- 03 AI SOLUTIONS
Customized AI Solutions
AI agents and workflows designed around your real decision processes, with enterprise guardrails, running on their own 24/7 — not a generic chatbot.
Why it matters — Generic tools don't know your business. Systems built on your data and your rules do — and your team can extend them as the work changes.
- 04 READINESS
Operational Readiness
We train your people to use AI on their own work — from knowing what your data can answer to designing automation loops they can extend themselves.
Why it matters — Tools don't change organizations. People who can use them do.
Six guarantees — how we keep your AI safe, sourced, and in bounds. Each is a mechanism, not a slogan.
-
Permissions travel with the data.
Access rights are ingested with every document and enforced at answer time. If someone can't open a document, the AI won't reveal it to them either.
-
Every answer carries its citation.
Click through from any answer to the source documents it came from.
-
Deployment matches data sensitivity.
Sovereign handling — self-hosted or in-country — for sensitive data; public-cloud handling where appropriate.
-
PDPA supported by design.
Access control, logging, and data handling designed to comply with PDPA.
-
Guardrails before capabilities.
The AI's scope is defined before it acts.
-
Open standards, no lock-in.
Delivered over the open MCP standard — connect Claude, ChatGPT, Gemini, or your in-house model, and switch without rebuilding your data.
What were the Q3 payment terms agreed with Vendor X?
Finance Manager · Access: Finance
Net 45, revised from Net 30 in the March amendment.
- contract_2024.pdf · p.4
- amendment_03.pdf
Operations Staff · Access: General
This answer requires documents you don't have access to.
We build on contextual retrieval — a retrieval technique with a published benchmark: 49% fewer retrieval failures, 67% with reranking. Anthropic's published benchmark
Every organization deserves AI it can trust.
Our founding team has built and run AI and data systems at global scale — from advertising systems at Meta driving billions in yearly revenue, to chatbot and search systems for government agencies — across energy, finance, education, and technology, with backgrounds from Stanford, Imperial College London, UT Austin, and USC.
-
Discovery
We understand your data, your goals, and where you stand.
-
Pilot
A working system on your real data, with a bounded scope.
-
Production & handover
We deliver, document, and hand over a working system your team owns and runs — designed for them to extend as the work changes.
You own a runnable, documented system, with your own team trained to run it — no lock-in, and our door stays open.
Our policy: no client logos on this site. We're glad to walk you through our work directly, under NDA.
Book a consultation
We are a small, senior team of engineers from global tech companies, used to operating at massive scale.
We take on a small number of projects at a time, so every one gets our full attention.
45 minutes — we look at where your data is and how ready it is. No obligation.