Your business, understood.
“Revenue” means what your finance team says it means. We connect business definitions, relationships, and source context in an ontology your agent can use.
Shared meaning, fewer assumptions. ENTERPRISE DATA. HUMAN CONFIDENCE.
We build enterprise data agents you can trust.
Answers grounded in your business.
Decisions backed by evidence.
Custom-built agents that earn your confidence.
OUR PRODUCT IS TRUST.Built around your data. Accountable to your people.
01 / MEET YOUR FINANCE AGENT
From “what happened?”
to here’s the evidence.
A finance teammate that investigates the numbers,
explains the why, and knows when to stop.
TRY A QUESTIONChoose a prompt to explore this sample agent
‹BrewSight Analyst
Today · Sample conversation
Built for your finance team’s questions. Integrated into Teams, Microsoft Copilot, or Slack.
See what this looks like for your business ↗02 / OUR PRODUCT IS TRUST
An answer is easy.
An accountable answer is different.
We build the foundations that make an agent’s
answers useful for real business decisions.
Every number has a trail.
Calculate from operational data and show the evidence: which source, which definition, and which calculation. Make the answer something a person can inspect.
Evidence you can follow.Honest about its limits.
Conflicting definitions? Missing data? The agent flags the gap, asks for clarification, or declines to answer. Sensitive actions stay behind agreed approvals.
Confidence without false certainty.ONTOLOGIES → HONEST DATA AGENTS
Give your agent the context
your best people already have.
We connect knowledge in your tables, dashboards, documentation, and experts. Then we validate it with your team and test the agent against real questions.
Tables & queriesDashboards & docsDomain experts
↓
◈
Business ontologyDefinitions · Relationships · Authority
✓↓
An answer with evidence ↗
THE GAP WE CLOSE
From plausible to provable.
| Without the right foundations | What we build toward |
|---|---|
| Summaries of yesterday’s reports | Analysis calculated from current source data |
| Unspoken assumptions about metrics | Business definitions you can inspect |
| Answers that sound confident | Tested answers, with uncertainty made visible |
| A separate layer of access to manage | Access aligned with your existing permissions |
03 / FITS YOUR DATA WORLD
Your platform.
A more capable teammate.
Keep the infrastructure you’ve invested in.
We build and integrate the agent around it.
CONNECTED TO YOUR DATA
Snowflake
Bring agents to your governed warehouse, with your data and business definitions at the center.
Works with SnowflakeDatabricks
Connect lakehouse data and business context to purpose-built agents for your team.
Works with DatabricksMicrosoft Fabric
Build on your Microsoft data estate, connecting analytics and business workflows.
Works with Microsoft FabricAVAILABLE WHERE YOUR TEAM WORKS
Your agent. In your everyday tools.
We integrate your data agent into Microsoft Teams, Microsoft Copilot, or Slack, so your people can ask questions and get answers where they already work.
Microsoft Teams
Ask business questions in Teams and bring answers with supporting evidence into the conversation.
Bring your agent into TeamsMicrosoft Copilot
Extend your Copilot experience with a custom data agent grounded in your organization’s data and definitions.
Connect your agent to CopilotSlack
Make your data agent part of the team’s Slack workflow, with clear answers and sources people can follow.
Work with your agent in SlackWe confirm integration options, licensing, permissions, and approval flows with your team during discovery.
04 / HOW WE WORK
From first question
to everyday confidence.
A focused engagement. Clear deliverables.
A partner from evaluation through production.
01 →
Evaluate the
current state
ACCURACY AUDITAssess your data, existing agents, and the questions that matter. Establish a baseline and make the gaps visible.
YOU GETA readiness assessment and prioritized roadmap.
02 →
Discovery
phase
REMEDIATION & BUILDChoose a valuable use case. Agree on definitions, access boundaries, and what a successful answer looks like.
YOU GETAn agreed scope and evaluation criteria.
03 →
Build
phase
REMEDIATION & BUILDBuild the context layer and integrations. Test with your experts, address failures, and prepare the agent for rollout.
YOU GETA custom agent evaluated against your use cases.
04 ↗
Ongoing
support
MANAGED EVALUATIONSMonitor quality as your data and business change. Re-test, improve coverage, and expand when you are ready.
YOU GETOngoing evaluations and a clear improvement cycle.
Start with one use case. Build trust before you scale.
Let’s find your starting point ↗05 / THE PEOPLE BEHIND YOUR AGENT
Built by engineers.
Delivered by people who care.
Data architecture, engineering, and delivery.
One team working alongside yours.
Alex Borichevsky
Founder, Principal Architect
Egor Labus
Business Development Manager
Dmitry Kolesnikov
Business Development Manager
Vasil Zarubanau
Data Solution Architect
Rostislav Zhosan
Principal Data & AI Engineer
Evgeny Tomsen
Data & AI Engineer
LET’S BUILD YOUR FIRST TRUSTED AGENT
Bring a question
your business
needs to trust.
We’ll walk through the Finance agent, discuss your data landscape, and explore a practical first use case.
Request a demo by email ↗Prefer email? info@dataeyes.com
30 min / ONLINE
Let’s explore what a trusted agent could do for your team.
Tell us the question you want to answer and the data platform you work with. We’ll arrange a time for your demo.
01 See the Finance agent in action02 Discuss your data and use case03 Find a practical starting point
Email us to arrange your demo ↗info@dataeyes.com