Data Lives Everywhere
Fragments of insight are scattered across ERP ledgers, CRM pipelines, raw data warehouses, and dynamic SharePoint PDFs.
The speed of AI with the discipline of BI — proven on your own data
Organizations pile data into lakehouses, relational databases, and static documents. Yet getting critical business questions answered takes days of back-and-forth iteration.
Fragments of insight are scattered across ERP ledgers, CRM pipelines, raw data warehouses, and dynamic SharePoint PDFs.
Strategic leaders wait days inside the data queue. Critical operations run on manual guesswork instead of real-time findings.
Average 3+ days per requestTraditional BI visuals illustrate that sales dropped, costs spiked, or inventories increased—but they never answer “why”.
Zero active explanation contextLeaders crave contextual explanations, confident projections, and actionable operational paths — not another dashboard.
Demands semantic clarityAn answer that lands after the decision isn't insight. It's trivia.
Export. Shadow Sheet. The Drift. Standoff. The data didn't fail. The route to it did.
Zero mysteries here. Instantly review the product UI, explore dashboard galleries, interactive views, and see real screens in action.

Ask complex business questions in natural language and get the number, the chart, and the reasoning behind it — straight from your own connected databases, in seconds.

Pin any answer to a board with one click. Tiles re-query on open, so every dashboard stays current — share it with the team, present it fullscreen, or export to PDF.

A governed model of your business, drafted from your schema and approved by your team. Define a metric once and every future answer uses it — versioned like code.

Every answer carries the exact query it ran. Analysts can verify the logic, auditors can trace it, and no result is ever a black box.
Six core capabilities take every question from plain English to a governed, chartable answer you can trust — ask, compile, visualize, verify, clarify, and pin.
Type a business question the way you'd actually say it. DataSense turns it into a structured intent — no SQL to write, no filters to configure, no dashboard to hunt through.

Your question compiles to SQL from a model your team approved. Ask it twice and you get the same query and the same answer — never a run-to-run guess.

DataSense picks the clearest way to show the answer — a number, a table, or a chart — and you switch between them with a single click.

Every answer reveals the exact query behind it. Analysts can verify the logic and auditors can trace it — so no result is ever taken on faith.

Every answer arrives with its likely follow-ups ready to run — the same number by month, split by status, or measured against the previous period. One click sharpens a rough question, without starting the conversation again.

Pin any answer to a board that re-queries on open, so the whole team sees numbers that are always current — never a stale export.

Traditional tools rely on complex logic and massive budgets. See how DataSense scales business queries.
Build reports. Wait for answers.
Requires filters, dashboards, or analyst support
Insights depend on pre-built reports and manual review
Business users depend on technical teams for queries
Dashboards must be manually designed and maintained
Data often remains scattered across tools and exports
Users often see charts without knowing the logic behind them
Validation is usually manual and time-consuming
DataSense AIAsk questions. Get answers.
Ask business questions in plain English
Generates answers, summaries, and charts instantly
Automated SQL generation behind the scenes
Creates live visual charts from questions
Connects enterprise data sources into one answer layer
Shows how answers were calculated with clear context
Links answers back to trusted metrics, tables, and source data
Watch a plain-English question travel from ask to governed answer — the structured intent, the compiled SQL, and the chart that comes back. No slideware, no canned demo.
Different teams have different challenges. Switch between departments to see custom DataSense profiles.
CEOs and founders ask high-level strategic questions and get the number in seconds — no waiting for an analyst to pull the data or build a fresh report before the meeting.

Sales and account teams use DataSense to inspect deal movement, revenue risk, renewal health, and customer expansion opportunities quickly.

Finance and audit teams use DataSense to review cash flow, variance, receivables, compliance checks, and KPI movements from connected business data.

HR and operations teams use DataSense to understand hiring, attrition, capacity, productivity, and team workload trends without spreadsheet-heavy reviews.

Procurement teams use DataSense to compare vendor performance, monitor purchase patterns, identify cost leakage, and improve buying decisions.

Customer support teams use DataSense to monitor ticket trends, resolution times, satisfaction signals, and recurring customer issues in real time.

See how switching to a product-led BI flow optimizes budget and analyst resources.
Build dashboards inside 2 minutes instead of waiting days for engineering queues.
Enable self-service BI access so business managers can query databases easily.
Ditch complex seat pricing models for modern high-performance BI alternatives.
Eliminate manual spreadsheet entry issues and secure correct business results.
DataSense adapts to the databases, metrics, and vocabulary of your industry — so every team gets trusted, plain-English answers from the systems they already run on.
Consulting & Advisory. Partners and managers query utilization, project margins, and engagement data in plain English — no waiting on an analyst to pull the numbers before a client review.
Trusted by Rodic Consultants
SaaS & Digital Platforms. Product, growth, and revenue teams ask about activation, ARR, and churn straight from the product database — governed answers in seconds, no data ever copied out.
Engineering & Infrastructure. Project and delivery leads check cost, schedule, and resource data across engagements in plain English — with metric definitions your PMO has approved.
Financial Services. Finance and audit teams get governed, fully auditable answers from their own data — read-only, running inside your VPC, with the SQL behind every number for review.
Supply Chain & Logistics. Operations leads ask about fulfilment, inventory, and supplier performance and get an answer in seconds — with live tiles that re-query, never a stale export.
Healthcare & Research. Operations and research teams query throughput, capacity, and outcomes data in plain English — read-only, with no data copied and a full audit trail on every query.
CleanTech & Mobility. Operations and sustainability teams ask about energy use, fleet performance, and ESG metrics in plain English — with governed definitions for consistent reporting.
EdTech Platforms. Product and operations teams ask about enrolments, engagement, and revenue by cohort straight from the platform database — self-service answers, no analyst queue.
Non-Profits & Foundations. Program and finance teams ask about donations, grants, and program impact in plain English — every number auditable for board and funder reporting.









We pair deep data-engineering experience with a track record of shipping and operating production data platforms — so DataSense clears your security review and earns its place in the stack.
DataSense reads schemas, permission models, and business terminology definitions without copying or moving your database records.
Orchestrating highly cohesive multi-agent subroutines, the platform evaluates evidence data sources, traces logics, and handles confidence.
Presents the findings with absolute transparency, deep citations to source records, clear text explanations, and recommended operations.
Book a free 30-minute discovery call with a senior DataSense engineer — no slide deck, just questions about your database, the answers your teams need, and what a fixed-scope pilot would prove.

Enabled users to retrieve operational, financial, and project insights through natural language queries, transforming complex data analysis into instant, self-service intelligence.
See case studyDataSense pairs best-in-class language models with a governed semantic layer and read-only connectors to the databases you already run on — deployed in our cloud or fully inside your own network, with your own model keys (BYOK).
Built and run by VOCSO’s AI team — the same engineers behind our conversational BI, RAG development and AI development services.
State-of-the-art models for reasoning, generation, and tool use.
OpenAI
Anthropic
Azure OpenAI
Google Gemini
Groq
Mistral
DeepSeek
xAI (Grok)
OpenRouter
Together AI
PerplexityConnect securely to the relational and NoSQL databases enterprises run on.
MySQL
PostgreSQL
SQL Server
MongoDBHigh-performance vector databases for semantic search and retrieval.
Pinecone
FAISS
PGVector
Weaviate
Milvus
QdrantStore, recall, and manage agent memory and long-term state.
Redis
PostgreSQL
LangMemModern languages and runtimes for building AI applications.
Python
TypeScript
Node.js
FastAPIMonitor, trace, and evaluate AI systems in production.
OpenTelemetry
GrafanaEnterprise-grade cloud services and infrastructure foundations.
AWS
Azure
GCP
Docker
KubernetesWe prioritize secure operational integration, moving far beyond generic AI chatbots.
We map unique internal acronyms, complex accounting logic, and custom metric definitions.
Never worry about hallucinated database queries. The system displays underlying compiled logic before drafting answers.
Avoid massive data warehouse migrations. Hook directly into Snowflake, PostgreSQL, or SharePoint files.
Maintain maximum operational compliance. Keep calculation runs completely within your network boundaries.
Your strategic inquiries, operational schemas, and query inputs stay strictly private.
Built for high-volume environments, backed by comprehensive SLAs, training protocols, and system redundancy.
Where CTOs and Security Officers stop scrolling. Strict trust boundaries with complete data ownership.
01Ingestion Endpoints
Compiles language intent over governed semantic patterns, runs automated security audits, and prevents logical leaks.
Zero Data Retention03Consumption Gateway
Your data is your most sensitive asset — so DataSense is architected to clear the security, privacy, and data-protection bar your teams and auditors hold you to. We design to the standards and frameworks enterprises depend on, across AWS, Azure, and Google Cloud.
General Data Protection Regulation
For AI applications in healthcare

India’s personal data protection framework
Fixed fee. 2–4 weeks on one real database.
Annual subscription. One subscription, all-inclusive — no setup fee.
Annual license — implementation is a one-time fee.
Commercial terms are scoped to your data sources, seats and deployment model during the pilot.
Book a callFirst-hand experiences from teams that put DataSense to work — governed, explainable, and measurable answers straight from their own data.
View all client testimonials“Vocso team has really creative folks and is very co-operative to implement client project expectations. MicroSave Consulting had great experience working with Anju and Prem.”
“Working with Deepak and his team at Vocso is always a pleasure. They employ talented staff and deliver professional quality work every time.”
“We love how our website turned out! Thank you so much VOCSO Digital Agency for all your hard work and dedication.”
“VOCSO SEO & SEM services helped me find new customers in a small budget. Their advanced SEO strategies made us visible to everyone.”
“Vocso team has really creative folks and is very co-operative to implement client project expectations. MicroSave Consulting had great experience working with Anju and Prem.”
“Working with Deepak and his team at Vocso is always a pleasure. They employ talented staff and deliver professional quality work every time.”
“We love how our website turned out! Thank you so much VOCSO Digital Agency for all your hard work and dedication.”
“VOCSO SEO & SEM services helped me find new customers in a small budget. Their advanced SEO strategies made us visible to everyone.”
Start with a fixed-scope pilot on one real database — your schema, your questions, and success criteria agreed up front. Read-only, live in weeks, and yours to verify at every step. No slideware, no canned demo, no commitment beyond the pilot.
deepak@vocso.com— no forms, no funnels.
DataSense AI is a conversational business intelligence layer over your own databases. Anyone on your team asks a question in plain English and gets the number, the chart, and the reasoning behind it — in seconds, straight from your live data. It's built and backed by VOCSO, and runs in the DataSense cloud or fully inside your own network.
No. DataSense turns your plain-English question into a structured intent, and the SQL is compiled from a model your team has approved. Business users get trusted answers without writing a single query, while analysts and auditors can still see the exact SQL behind any answer whenever they want.
A generic LLM improvises SQL, so the same question can return a different number every run — with no way to tell which is right. DataSense never lets the model write SQL freely. Language maps to an intent, and SQL is compiled deterministically from a governed semantic layer — so you get the same answer every time, with the query to prove it.
No. DataSense connects to your databases with a read-only credential you issue and control. Queries run inside your database and results render to your users — no second copy of your data is ever created, warehoused, or used to train anyone's model. Revoke the credential at any time and nothing breaks but us.
Yes. DataSense Cloud is the fastest path to value — hosted and managed for you. For regulated teams, DataSense Enterprise runs entirely inside your private VPC, where data never leaves your network and LLM calls go to your own Azure OpenAI, Bedrock, or Anthropic tenant (BYOK) — working with your SSO, secrets manager, and audit stack.
DataSense links read-only to your relational databases such as PostgreSQL, MySQL, and SQL Server. MSSQL and MongoDB connectors are on the near-term roadmap, alongside scheduled refresh and alerting on dashboard tiles.
Accuracy is enforced, not hoped for. Metrics and rules are defined once, versioned, and approved by your team, so the model cannot invent a definition. When a question is ambiguous, DataSense asks a one-click clarifying question instead of guessing, and every answer is scored against your real data — low-confidence answers are disclosed or refused outright.
Every engagement begins with a fixed-scope proof-of-value pilot — 2–4 weeks on one real database, using your schema and ten of your real questions, with success criteria agreed before we start. Full onboarding, where your team reviews and approves the semantic layer and the deployment is hardened, typically runs across weeks 4–8.
Three simple models. The pilot is a fixed fee, credited in full toward whichever model you choose next. DataSense Cloud is an annual subscription priced by data sources and seats — never per query, with every product update included. DataSense Enterprise is an annual license with a one-time implementation fee for VPC deployment, guided setup, training, and a dedicated SLA.
Connections are read-only at the credential level, encrypted in transit, and every single query is written to a full audit log. Access is role-based per connection, tenant isolation is enforced in the platform database itself, and your data is never copied, warehoused, or used to train models. The architecture is built to be checked — we expect your security team to verify every claim during the pilot.
For the people who can't wait for the report. Operations asks which site is driving this week's delays; sales asks which segment is closing below forecast; finance asks what's behind the budget variance; founders ask for the one number they need before a board meeting — all in plain English, without joining the analyst queue.
DataSense is built by VOCSO, a product-engineering team with a track record of designing, shipping, and operating data platforms for enterprise and mid-market clients — that experience, productized. Enterprise engagements include guided implementation, team training, and a dedicated SLA, with quarterly reviews as you roll out to more sources and teams.