Ask in natural language
You write your question as in a meeting: “How did sales evolve by quarter this year?”. No SQL queries, no predefined dashboards.
Talk to all your data, in natural language.
Conversia connects your CRM, ERP, finance and support in a single artificial intelligence assistant. Ask as you would in a meeting and get analyzed answers in seconds —with no SQL queries and no waiting on the BI team.
A GeneXus Consulting product
✦ The BI bottleneck
The data exists. Access doesn't always.
Business Intelligence democratized visualization, but not access: when the question isn't in the predefined dashboard, the wait begins —request, backlog, report.
72 h → sec
From waiting in the BI backlog to an instant answer in the chat.
45%
of analysts' time goes to preparing data, not interpreting it.
Source: SDG Group, 2024
31%
of companies achieved widespread data access across the organization.
Source: McKinsey Global Survey
✦ How it works
From question to analysis, in a single conversation
Conversia works like an analyst would: it understands the question, queries your data securely and returns the reading, not a spreadsheet to interpret.
A secure query of your data
Conversia translates the question and queries your real databases in read-only mode, retrieving verifiable information before answering.
Analyzed answer
You get the conclusion —what happened, in which segment and with what trend— as text, table or chart, depending on the question.
✦ The technology underneath
It's not a chatbot with data access: it's architecture
Three components work together so that every answer is grounded in your real data and not in a guess by the model.
The model retrieves, it doesn't invent
Retrieval-Augmented Generation: before answering, the system queries the data source and grounds every answer in real, verifiable information. No hallucinations or invented figures.
The bridge to your database
Natural language to SQL turns your question into an executable query against the real database. With curated views and semantic metadata that provide the context separating a demo from a product.
The system reasons, not just responds
An agent breaks a complex question into sub-questions, queries different systems in parallel and synthesizes the results into a coherent answer. The “Agentic RAG” pattern defining 2026.
✦ What Conversia does
One conversation, all your data
Query your systems as you'd talk to an analyst: in natural language and with analysis, not just raw data.
Natural language, multi-format
Ask as in a meeting. Conversia answers in text, table or chart, in seconds. No SQL queries or manual reports.
Analysis included, not just data
It doesn't return rows to interpret: it compares periods, identifies segments and suggests hypotheses. You get conclusions, not spreadsheets.
Multiple assistants in parallel
Query specialized assistants (Sales, Operations, Support) at once and compare their answers in a single conversation.
Your team and your AI agents
A chat for people and a single connector for your agents (Claude, Cursor), with the same governance over the same data.
Secure and under your control
Always read-only queries and no interaction is used to train models. With integrated authentication and full auditing.
From days to seconds
Queries that used to take 24 to 72 hours on the BI team are now answered instantly in the chat.
✦ Conversia in action
This is what asking your data looks like
The real app, at a glance: from the chat with analysis and chart to managing assistants and the connections to your databases.
How did sales evolve by quarter this year?
Sales grew 18% year over year, driven by Q3. The SMB segment explains most of the increase.
$1.2MQ1
$1.6MQ2
$2.5MQ3
$2.0MQ4
CDODSD
Ask your assistants…
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AI / Assistants
Assistants
Chat personas: each with its role, instructions and the tables an LLM can read.
Assistants11in the workspace
Enabled10live for users
Datasources7connected in total
AssistantDatasourceTablesModeStatus
CRCampaign ROI AssistantMarketing & campaign ROI analystCRM, Orders11Direct Enabled
CACRM AssistantCRM analystCRM (Postgres)8Direct Enabled
C3Customer 360 AssistantCustomer intelligence analystCRM, Orders14Direct Enabled
GAGarmetSales LeaderGarmet92Direct Enabled
Data / Datasources
Datasources
The databases the assistants can query, directly or through the on-prem bridge.
Connections74 engines in use
Direct7backend → database
Via bridge0on-prem proxy
Filtered7visible below
Search by name, host, database…
All
PostgreSQL
MySQL
SQL Server
Oracle
MongoDB
CRMPostgreSQLcrm-db.internal:5432
OrdersMySQLorders-db.internal:3306
SupportSQL Serversupport-db.internal:1433
BillingOraclebilling-db.internal:1521
✦ MCP connector
Bring your sources to Conversia with the MCP standard
Conversia includes an MCP (Model Context Protocol) connector that lets it access your data sources and add them to your work inside the platform. Instead of custom integrations, you connect your MCP-compatible sources and start using your information directly from Conversia.
Your data, inside Conversia
Bring your information from your sources and work with it without switching tools.
No custom integrations
You leverage the MCP standard instead of building point-to-point connections for each source.
Open standard, no lock-in
Compatible with the MCP ecosystem: you don't depend on a single tool or vendor.
Connect once, use it always
Once the source is connected, your information stays available for your work in Conversia.
With the same Conversia security: encrypted connections, role-based access control and data that is deleted once used.
✦ Security
Your data, protected at every stage
Security isn't an extra in Conversia: it comes built in, by design. We protect your information with encryption, access control and managed cloud infrastructure; and when your data has served its purpose, it's deleted.
Encryption at rest
Everything stored is saved encrypted. Without the keys, the data is unreadable.
Secure connections
Information travels encrypted end to end (HTTPS/TLS), with no risk of interception along the way.
Access control and roles
Each user sees and operates only on what corresponds to them, with the principle of least privilege.
Deleted after use
Conversation data is deleted once used. We don't keep more than necessary.
Backups and auditing
Backups to recover information and logs to audit access and operations.
Infrastructure on AWS
We run on Amazon Web Services, with its standards of physical security, redundancy and availability.
✦ Why choose Conversia
What separates a product from a demo
Analysis, not just search
Other tools bring a row; Conversia brings the conclusion: what happened, in which segment and why.
One platform for people and agents
Your team's chat and your AI agents use the same data, with a single governance and audit.
It adapts to your infrastructure
It connects your current databases without migrating anything and doesn't lock you into a single AI vendor.
Want to see Conversia with your own data?
Book a 30-minute demo and ask your organization's data, live.
Read-only queries
No data migration
Doesn't train models on your data
✦ FAQ
What people usually ask us about conversational AI
What is conversational AI applied to enterprise data? +
It's the ability to query an organization's data (CRM, ERP, finance, support) by writing questions in natural language and get an analyzed answer in seconds, without writing SQL queries or depending on a report from the BI team.
How is it different from a BI tool like Power BI or Tableau? +
Traditional BI tools democratized visualization, but require someone to design the dashboard or write the query in advance. Conversational AI answers new questions on the spot, over the real data schema, and returns the conclusion instead of just showing rows.
What is RAG and why does it keep AI from “hallucinating”? +
RAG (Retrieval-Augmented Generation) makes the model first retrieve real information from the data source and only then generate the answer. This grounds every answer in verifiable data instead of inventing it.
What is NL2SQL? +
NL2SQL (Natural Language to SQL) is the technology that translates a natural-language question into an executable SQL query against the real database.
Is it safe to query corporate data through a conversational interface? +
Conversia runs read-only queries, keeps a full audit of every conversation, uses integrated authentication and does not use interactions to train AI models.
Does conversational AI replace the BI analyst? +
No. It resolves the routine queries that overload the team today, freeing it for the complex analyses that require human expertise: predictive modeling, metric design and data quality.