Ask your data, get answers you can verify
Ask a question in plain language and get an immediate answer from your own data, backed by your numbers and without waiting for an analyst.
Leaders in automotive, banking, and telecommunications rely on our solutions
One layer, two perspectives
You ask it the way you would ask a colleague
A manager, a financial analyst, or an HR specialist can ask questions in their own words and get an immediate answer, with a chart or a table. No waiting for an analyst and no exports to Excel.
- "Why did margin fall in August 2025?"
- "Show headcount as of September 30 by division"
- "Which orders are past their due date?"
An AI layer over your data
It works with your existing data environment, without requiring data to be moved elsewhere. It understands the intent of the question and finds the right data itself.
- Selects and processes the right data from databases, the data lake, and BI layers
- Adds context and interprets the result
- Answers include their sources, with every step auditable
Extend Smart Assistants with data capabilities to support deeper analysis and data-backed actions. Smart Asistenti
Key benefits
You decide right away
An answer in chat within seconds, instead of waiting days for a report.
Everyone sees the same numbers
One source of truth and a central KPI dictionary shared across teams.
Reduced workload for analysts
People handle routine queries themselves, and analysts work on what matters.
Find the cause faster
Segment analysis shows what is driving a variance in the numbers.
Visibility into trends
On-demand comparisons and change analysis, without manual searching.
Ready for an audit
Every answer includes its sources, and exports respect access permissions.
How it looks today vs. with Smart Data Intelligence
- You wait days for IT or an analyst to produce a report
- Every team calculates metrics in its own way
- Ad hoc queries overwhelm BI analysts
- Exports bypass access controls
- Decisions cannot be verified later
- Changes in trends go unnoticed
- You ask the question yourself and get the answer immediately in chat
- A central KPI dictionary with sources, shared by everyone
- Self-service access with row-level security
- Exports respect permissions and are audited
- Every answer includes sources and reasoning
- A "what changed" view highlights the segments that matter
Who Smart Data Intelligence is for and what it solves
Business leaders (HR, sales, operations, finance)
They need fast, consistent answers without waiting for analysts.
- "What was headcount as of September 30 by division, and what was the year-over-year change?"
- "Why did margin fall last month?"
- "Which orders are past their delivery date, and in which regions?"
Analysts, BI, and data stewards
They spend their time handling ad hoc questions, explaining metrics, and producing exports.
- "Explain the definition of Qualified Lead with a link to the data dictionary"
- "Generate an RLS-safe CSV from the selected view"
Operations, maintenance, and quality
They need to find the right procedure in the manuals, see defect trends, and connect them to specific changes or processes.
- "Show the last seven days of faults on line L-12 and what changed in the process or maintenance"
- "Which CAPAs are overdue, and which evidence is missing?"
Proven in practice
How Aspecta’s NLP solution is changing public procurement
Public procurement faces significant process and time inefficiencies. Multilabel classification algorithms, semantic similarity analysis, and large language models can deliver revolutionary improvements…
View case study
AI Smart Assistant on AWS: personalized shopping experience
+18 % online conversions
in the first six months after deployment
Turning historical email archives into a generative AI knowledge base
70 % shorter resolution time
from 10–15 minutes to 2–3 minutesQuestions we hear most often
Do we have to move our data somewhere else first?
No. It runs as a layer over what you already have. No major migration is required.
Is it safe for sensitive data?
Yes. Everyone sees only what they are entitled to, and the solution can run in your own environment. Your data is not used to train public models.
How quickly can we try it?
A proof of concept using your data is usually ready within a few weeks, often in collaboration with AWS.
How is this different from traditional BI tools?
It reduces the manual work required from your team. It understands definitions, adds citations, and suggests the next step or an export.
Ask your data for the first time
We'll show you how it works on your own real data. No obligation.