Ask your business anything.
Days of analysis, answered in minutes.
Seconds for simple questions. Minutes for the ones that take an analyst days. All from your own data.
Agents' suggestions land here for you to approve.
Opens a scripted preview that answers from this page. Nothing is sent to a model.
Everything in one place
Ask questions, connect your systems, agree on what your numbers mean, and share the answers. Four tabs: Home, Data, Knowledge and Reports.
Analytics
Ask in plain words. Get the number, a chart, and the steps behind it.
Data connectors
Databases, cloud storage, business apps and spreadsheets. Your tables stay where they are.
Agents and knowledge
Agents check your data and suggest definitions. Your people approve what becomes the shared answer.
User access
Invite everyone, no per-seat fees. Roles decide who connects data and who approves.
Deployment
In our cloud, or privately in your own cloud or data center.
Pricing
One annual fee for the whole company. No seats, no charge per question.
Ask, and get the answer
Seconds for simple questions. Minutes for the ones that take an analyst days, like pulling claims, payments and contracts together.
Ask the way you'd ask a colleague
No SQL, no dashboard request, no training. Ask the follow-up straight away.
We ask before we guess
When a question could mean two things, we show you the options instead of picking one.
Charts without a dashboard project
Trends as lines, comparisons as bars, a single figure as a headline number.
Every answer shows its working
See the steps we took and the query we ran, so you can check a number before you share it.
Pin it, share it
Pin an answer and it lands in Reports, where your team can find it.
Answers waiting on day one
Connect a source and we prepare the first questions worth asking about it.
Connect the systems you already run
We ask your systems directly. Nothing to move or rebuild first, and your tables stay where you already protect them.
Databases and warehouses
Cloud storage
Files and spreadsheets
Business apps
Don't see yours? Upload a file to start today, and tell us which system you need.
Agents do the groundwork. Your people decide.
Agents start as soon as you connect a source. What they suggest comes to you as a decision: approve it, edit it, or dismiss it. What you approve becomes shared knowledge.
Query
Answers your questions in plain words, and shows the steps it took.
Data Quality
Checks for gaps, duplicates and odd values, and suggests rules to keep watching them.
Semantic Layer
Suggests the business terms and metrics you use, like "revenue" or "denial rate".
Source Mapping
Finds how your systems link, like claims to payments, with the evidence for each match.
Document Extraction
SoonReads documents like payer letters and contracts, and turns them into data you can ask about.
Grouping
SoonGroups your sources by business area, like Finance or Revenue cycle, so each team asks its own.
Knowledge: what you approve
- Define “denial rate” once. Answers use it from then on.
- New definitions are checked against your data, and a data lead approves them.
- A map of your sources and how they link.
- The quality rules on your data, and what each one guards.
Agents read your data. They never change it.
For leaders and every team
Leaders
Ask your own questions, review the decisions waiting for you, and read what your team pinned.
Your teams
Operations, finance, marketing and analysts get their own answers, without a ticket queue.
Data leads and admins
Connect sources, approve definitions and quality rules, and decide who can do what.
Run it where it suits you
Our cloud
We run it for you on Google Cloud. The quickest start: a pilot on your own data in weeks.
Private deployment
A dedicated setup in your own cloud account or data center, on an Enterprise agreement.
Inside your network
Queries run inside your own network, next to your data, on an Enterprise agreement.
Safe for sensitive data
Built for healthcare, banking and every business whose data is not allowed to wander. Your security team keeps control.
Your security team wants the detail? It's in the docs.
Simple pricing, no seats
Start with a pilot on your own data. Then one annual fee covers your whole company: unlimited users, agents, knowledge and analytics.
Pilot
Prove the value on one real business question, with your own data
- A guided pilot, 8 to 12 weeks
- Security and setup review with your team
- Sample data or your own sources
- What success looks like, agreed up front
Business
Give every business unit direct answers from its own data
- Unlimited users, no per-seat fees
- Unlimited data sources
- One annual fee, with usage included
- Agents, knowledge and analytics
- Workspaces and roles for every team
- Priority setup help
Enterprise
For regulated teams that need everything to run inside their own network
- Private deployment in your cloud or data center
- Queries can run inside your own network
- Single sign-on and audit support
- Your data residency and retention terms
- Around-the-clock support with an SLA
Have procurement, residency, or private deployment requirements?Start a pricing conversation
No warehouse. No pipelines. No seats.
A BI tool is only the top layer. Underneath it you pay for a warehouse, a tool to fill it, and the engineers who build and run the pipelines. We ask your systems directly, so you need none of that. Compared on the whole stack, dataface.ai costs 79% to 94% less.
| Total annual cost, BI plus everything underneath it | 25 users | 250 users | dataface.ai is lower by |
|---|---|---|---|
dataface.ai BusinessEverything included Runs on the sources you already have: no warehouse, no pipelines, no extra engineer | ~$18K | ~$70K | |
| Looker + the stack underneath Platform fee + per-user licenses | $350K | $528K to $1.08M | 87% to 94% |
| Tableau Cloud (Enterprise) + the stack underneath Per-seat: Creator / Explorer / Viewer | $302K | $515K | 86% |
| Tableau Cloud (Standard) + the stack underneath Per-seat: Creator / Explorer / Viewer | $293K | $424K | 83% |
| ThoughtSpot + the stack underneath Per-user; real contracts run above list | $293K | $415K | 83% |
| Power BI Pro + the stack underneath The cheapest BI sticker | $282K | $341K | 79% |
| The stack underneath, per year: Warehouse $100,000 + Ingestion tool $48,261 + One data engineer $129,700 = $277,961 | |||
Percentages are at 250 users. BI licenses at published list prices, July 2026. Warehouse: median Snowflake buyer, $100,000 a year (Vendr, 731 purchases). Ingestion: median Fivetran buyer, $48,261 a year (Vendr, 768 purchases). One data engineer at the average U.S. salary, $129,700 (ZipRecruiter, August 2026), base pay only. Your stack will differ; talk to us for a quote against your own numbers.
The questions that cost your industry money
Every industry below runs on a working demo of that business. Pick yours to see the problem, how dataface.ai helps, and what changes.
Hospitals, provider groups, and revenue cycle companies
The question on the table
“Which payer drove the denial spike last quarter, and what is it costing us?”
What it costs today
Denials surface at month-end, spread across claims, remittances, and payer contracts. By the time someone reconciles them, the appeal window is closing and the cash is gone.
How dataface.ai helps
- See which payer and which denial reason is driving the spike, this week
- Put a cash figure on it at your contracted rates, not a claim count
- Point the team at the claims most worth appealing first
Recover revenue sooner and bring days in A/R down.
- Google for Startups Hub
Google's startup program: mentorship, product and cloud expertise, and a founder network.
- Microsoft for Startups
Founders Hub: Azure and OpenAI credits, technical guidance, and the Microsoft startup network.
- T-Hub
India's flagship innovation hub, Hyderabad: mentorship and enterprise access.
- GitHub for Startups
Enterprise engineering platform and open-source ecosystem access.
Program names and marks belong to their respective owners.
Meet the Team
The people behind dataface.ai
Ratnaker Katipally
Founder & CEO
Software engineering leader with nearly 19 years of breakthrough career in building and leading high-performing software development teams for the design and delivery of large-scale software products for Data, ML, Enterprise Applications & Cloud Solutions.
Ratnaker's LinkedIn