The AI data analyst that runs where your data lives
The organizations with the most valuable data are often the least able to use modern AI tools. DataQube delivers auditable analysis, reports, and boardroom decks entirely within your infrastructure.
Used by teams across asset management, insurance, and banking.
01The difference
Don't take the data to the assistant. Bring the assistant to the data.
Powerful AI. Regulated analysis. No tradeoff.DataQube runs inside your infrastructure, where every answer is traceable, governed, and audit-ready.
Powerful AI. Wrong architecture.
- Data must leave your environment
- Answers are difficult to verify
- Context disappears between sessions
- Analysis lives outside your workflow
An analysis system inside your perimeter
- Runs on your infrastructure
- Every answer links back to its evidence
- Institutional knowledge is retained and reused
- Analysis becomes reports and presentations
02One surface
The conversation is the notebook is the deck
Today the same analysis is recreated across chats, notebooks, spreadsheets, presentations, and tribal knowledge - copies that drift apart. In DataQube there is one record; chat, notebook, and presentation are just ways of reading it. They can't contradict each other, because there is nothing separate to contradict.
Ask
Ask questions in plain language. DataQube automatically runs the appropriate queries, models, and searches.
Verify
Inspect every result down to the underlying query, file section, or calculation.
Present
Generate reports and presentations directly from the analysis—with every figure linked back to its source.
03Platform
An operating system for enterprise analysis
Most organizations already have tools for data, documents, reporting, and governance. What they lack is a system that connects them into a single analytical workflow.DataQube serves as that system—bringing analysis, institutional knowledge, automation, presentations, and governance together in one place.
Presentations
Decks compile from analysis, not alongside it. Co-edit slide by slide with DataQube, every number traceable, and the version your committee received stays untouched until you publish the next.
Scheduled Agents
Turn any analysis into a workflow - reproducible and deterministic, because nobody wants surprises in a key report - that re-runs on a schedule: the Monday IC pack rebuilds itself, flags what changed, and stages a draft for approval.
Threads & Notebooks
Ask in plain language and get analysis you can defend - the queries, code, and reasoning attached. Your quants can verify any step in place instead of rebuilding it in a spreadsheet.
Institutional Memory
The conventions that make analysis correct usually live in heads and chat history. Here they're captured, validated, and recalled in every relevant run - and outdated knowledge is retired, never silently reused.
Tool Catalog
Connect databases, file stores, and market data once at the org level. Credentials never reach the AI model, teams see exactly the data they're granted, and revoking access works instantly.
Audit & Permissions
When the regulator asks who saw what, the answer is an export, not a project. Permissions people understand, denials that always win, and a record of every query, file read, and refusal.
bytes of data sent back to us - in any tier
of figures traceable to the query, rows, and file section behind them
isolated environment per analyst session - nobody shares anything
from install to the first fully audited answer
04Security & compliance
The part your CISO reads first
DataQube exists because regulated institutions can't send data to someone else's cloud. Every design decision starts there - security isn't a feature we added later, it's the constraint we built around.
05Deployment
Runs in your world, not ours
Most AI platforms require organizations to adapt to the vendor's infrastructure, security model, and deployment constraints. DataQube runs inside your environment - whether that's on-premise, private cloud, or fully air-gapped - so you retain control of your data, security, and operations.
On-premise Kubernetes
Helm charts into your cluster, images through your registry, logs to your SIEM. The same stack your platform team already operates.
Private cloud
Your tenancy, your VPC, customer-managed keys end to end. No shared control plane - there is nothing of ours to share.
Air-gapped
Built for networks that never touch the internet. Every feature works with zero egress - delivery, licensing, and support included. No exceptions to negotiate.
Trust is not an upsell - every tier ships the full security architecture.
06Customers
Proven where the stakes are real
Asset managers, banks, insurers - places where the data can't move and the answers must survive an audit.
From the field
“Our auditors had questions; now they have provenance. The deck our investment committee reads on Monday built itself at 06:00 - and every figure links back to the exact query it came from.”
See your data answer questions - without leaving your infrastructure
Thirty minutes with an engineer: live product, deployment options, and your security team's questions answered by someone who wrote the code.