From scattered systems to a decision in minutes.
No warehouse and no weeks of setup. We read the systems you already run, show you what changed and why, and get the fix moving. You approve every step.
- See it early
- We watch your numbers against the limits you set.
- Know why
- We trace the cause across every system involved.
- Act on it
- You approve, and we raise the request or the order.
What needs a decision lands here, with a fix to approve.
Opens a scripted preview that answers from this page. Nothing is sent to a model.
Everything in one place
Ask questions, catch problems early, decide and act, and agree on what your numbers mean. All on the systems you already run.
Analytics
Ask in plain words. Get the number, a chart, and the steps behind it.
Decisions and actions
We watch the numbers you care about, tell you why one moved, and act on the fix you approve.
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
Add your team by email, 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.
Ask, and get the answer
Most answers come back in seconds. Ask across several systems at once, like claims, payments and contracts, and we join them for you.
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.
From the first warning to the fix
An answer is only half the job. We watch the numbers you care about, tell you why one moved, lay out your options, and act on the one you approve.
We catch it early
You set the limit, like seven days of stock cover or a denial rate. We watch it and open a case the moment it breaks.
We tell you why
We test the likely causes across your systems and show the evidence for each, so nobody spends a week finding out.
You decide
You see how long you have and what each option does. Your people approve, edit or turn it down.
We get it done
We raise the request where your team works. Agents earn the right to handle routine fixes alone, and you can take it back.
What we watch for you
Where we act once you approve
Days of cover, part at plant
Motor magnet assembly at Plant 2 is down to 3.4 days of cover
Your floor is 7 days. At today's use, it runs out in 3 days.
Why
- Supplier portal: Supplier confirmed 62% of what we asked for
- Logistics: Inbound shipments arriving 4 days late on average
- ERP: Use up 12% on the 28 days before
Your options
- Move 1,800 units from Plant 1Suggested
Cover back to 9 days. Plant 1 keeps 11 days.
- Raise an expedited requisition for 1,800 units
Cover back to 9 days once it arrives.
- Escalate the supply to procurement
Procurement takes it up with the supplier.
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 sources. They never change them.
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. We scope it with you 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 team its warnings, decisions and answers from its own data
- Unlimited users, no per-seat fees
- Unlimited data sources
- One annual fee, with usage included
- Decisions, actions, agents 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, scoped with you
- Queries can run inside your own network
- An audit trail of every action
- Your data residency and retention terms
- Hands-on rollout with our team
Have procurement, residency, or private deployment requirements?Start a pricing conversation
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.
Distribution, logistics, and operations teams
The question on the table
“Why did on-time delivery fall in April, and what did recovering it cost?”
What it costs today
A late-delivery problem shows up as a missed target, while the cost of fixing it lands in a later freight bill. Nobody connects the two, so the same mistake repeats next quarter.
How dataface.ai helps
- Find exactly where delivery broke: which lane, which supplier, which week
- Tie the delay to the expedited freight it caused, in the month it happened
- Decide whether to reroute or switch suppliers with the cost in front of you
Protect service levels without overspending on freight.
- 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