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Sovereign, auditable analytics

Governed answers from your data.Inside your own walls.

Ask in plain language. Several models cross-check every query before you see the answer, each answer cites its SQL and sources, and it all runs on your infrastructure with local LLMs.

  • Multi-model verified
  • Every answer cited
  • On-prem & air-gapped
Backed bydigi edZe

Chat4ED is built by digi edZe, the enterprise data, cloud and AI services company led by a former Oracle and AWS leadership team.

Why teams trust it

Answers you can check, not just believe.

Built for enterprises where a wrong number is expensive. Every answer is explainable, governed and verified.

context.lookup "gross margin" ✓
sql.generate → validate ✓
sql.run · 12 rows · 0.8 s ✓
chart.bar(region, margin) ✓

Shows its work

Every answer comes with its reasoning, the business definitions it used, the SQL it ran and the sources behind it.

Asked by Regional manager · South2 of 4 rows
RegionRevenueAccount no.
South$1.2M•••• 1937
North$1.5Mhidden
South$0.7M•••• 4473
West$0.9Mhidden

Respects access rules

People only see the rows and columns their role allows. Sensitive fields are masked, and every query is logged for audit.

Model ASQL writer
Model BReviewer
Model CValidator
3 of 3 agree. Answer released.

Cross-checked to stop hallucinations

A group of models checks every query and number before you see it. If they disagree, Chat4ED asks instead of guessing.

Deployment

Your data. Your network. Your models.

Run Chat4ED wherever your security team is comfortable, from managed cloud to fully air-gapped.

Chat4ED Cloud

Fastest start. Fully managed by us.

  • Live in days
  • Automatic updates

Private cloud

Deployed in your own AWS, Azure or GCP account.

  • Data never leaves your VPC
  • Your keys, your logs
Most popular in BFSI

On-premise

Runs on your servers with locally hosted LLMs.

  • No calls to outside AI providers
  • Pay for hardware, not tokens

Air-gapped

For the most regulated environments.

  • Zero internet access
  • Offline install & updates
Works with local or hosted models:LlamaQwenMistralFalconSarvamGPTClaudeYour fine-tuned model
Enterprise Context Engine

AI doesn't fail because of the model. It fails because it doesn't know your business.

The Chat4ED Enterprise Context Engine captures how your company actually works: how your data connects, what your terms mean, what your policies say, how your experts investigate and who may see what. Every answer, forecast and agent runs on it.

Interfaces & agents

Chat4ED app

Ask, dashboards, forecasts

Where you work

Teams, Slack, WhatsApp, email

AI agents

Any MCP-compatible agent

Your apps

REST API for your products

Enterprise
Context
Engine

Chat APIMCP ServerREST API

Enterprise Context Engine

Multi-model verificationLocal or hosted LLMsFull audit trailLearns from feedback

Business systems

Systems of data

Warehouses & databases

Systems of record

Core banking, ERP & SAP, CRM

Systems of knowledge

Policies, SOPs, spreadsheets

Identity & access

SSO, Active Directory, roles
Context in action

One question. Five kinds of context.

A text-to-SQL tool sees table names. Chat4ED sees your business. Here is what the Context Engine works out behind a single question.

Asked by Regional Head, South · BFSI example
Why are loan defaults up in the South this quarter?
  1. Data GraphFinds the right tables and joinsloans ⋈ branches ON branch_id · source: core_banking
  2. Business SemanticsApplies your definition of "default"default = 90+ days past due (not the 30-day Collections view)
  3. KnowledgeLinks the policy that changedCredit Policy v4.2 (Jul 2026): min. score 700 → 660
  4. ExpertiseInvestigates like your best analystcompare by origination cohort · rule out seasonality first
  5. GovernanceApplies who-can-see-whatSouth region only · customer names masked
✕ Without context · schema-only text-to-SQL"Defaults rose 3.1%."
  • Used a 30-day definition, not your 90-day one
  • Counted every region, not just the ones you may see
  • No reason given, no link to the policy change
✓ With the Chat4ED Context EngineDefaults are up 1.4 pts in the South.

78% of new defaults are personal loans approved after Credit Policy v4.2 lowered the minimum score to 660. Loans approved before the change are performing normally.

5 context sourcesPolicy citedValidated

Illustrative example.

See it work

One question. One trusted answer.

Pick a role. Watch Chat4ED answer a real business question with charts, a plain-English explanation and the evidence behind it.

Chat4ED● Sample data

Illustrative sample data. Book a demo to see Chat4ED on your own data.

Voice

Just ask. Out loud, in your language.

Tap the mic and ask Chat4ED the way you would ask a colleague. It writes down what you said so you can check it, answers with verified numbers, and reads the answer back in the same language.

  • Speak your questionPush-to-talk voice typing. Your words land in the chat box, so you can check them before you send.
  • Hear the answerTap Listen on any answer to hear it read aloud, in the language the answer was given in.
  • 27 languages, 13 of them IndianHindi, Tamil, Telugu, Bengali, Marathi and more, plus Arabic, Japanese, Spanish and other global languages.
Tap to speak

Answer

Listen

Tap the language to try any of the 27 · Illustrative example

Englishहिन्दीবাংলাमराठीதமிழ்తెలుగుગુજરાતીಕನ್ನಡമലയാളംਪੰਜਾਬੀଓଡ଼ିଆঅসমীয়াاردوनेपालीEspañolFrançaisDeutschPortuguêsItalianoNederlandsРусский日本語한국어繁體中文简体中文فارسیالعربية
How it works

Context built in weeks, not years.

AI does the heavy lifting, your experts stay in control, and your data stays where it is.

01

Connect

Connect databases, business apps and documents. Chat4ED reads schemas, query history and files in place.

SnowflakeDatabricksPostgreSQLSQL ServerMySQLOracleBigQueryPDF / Docs+ more
02

AI drafts your context

Agents map joins, suggest metric definitions and link policies to data, so most of the groundwork is done on day one.

Net revenue = sales − returns − discountsAI draft
Active customer = ordered in 90 daysAI draft
loans → branches on branch_idAI draft
03

Experts certify

Data owners review, edit and approve. Only certified context reaches your answers.

Net revenue✓ Certified
Active customer edited: 60 days✓ Certified
Default rateIn review
04

Ask & keep learning

Ask in the app, Teams, the API or from your own AI agents. Feedback improves the context every day.

Chat4ED appMicrosoft TeamsSlackWhatsAppREST APIMCP for AI agentsScheduled reports

Connect once.
Answer everywhere.

Chat4ED queries your data where it lives. Nothing is copied out. The same governed answer reaches every app, chat and agent your teams use.

Your data, queried in place

SnowflakeBigQueryRedshiftPostgreSQLMySQLSQL ServerOracleClickHouseTrinoAthenaSAP HANA & B1Excel & CSV
Chat4EDEnterprise Context Engine

Same answer, everywhere

Chat4ED app →WebMicrosoft Teams →ChatSlack →ChatWhatsApp →ChatAI agents & copilots →MCPYour apps →APIScheduled alerts →Email
Predictive analytics

Don't just see what happened. See what's next.

Ask for a forecast the way you'd ask a colleague. Chat4ED runs the statistics, backtests the result and explains it in plain English.

  • KPI forecastingRevenue, demand or cash by region, product or segment, with confidence ranges.
  • Anomaly alertsGet told when a metric breaks its normal pattern, with the likely cause.
  • What-if & drivers"What if freight rises 10%?" See the impact before you commit.
  • Risk & churn scoringScore every customer, loan or shipment, and see why each score is what it is.
See forecasting on your data
Forecast · Monthly revenue
Anomaly detected · 09:12Returns in the South region are 2.4× normalMost likely cause: SKU 4471 batch from supplier Delta.
Chat4ED vs traditional BI

Dashboards tell you what happened. Chat4ED tells you why.

Same question, three ways to answer it. Traditional BI needs an analyst and a new dashboard. BI copilots summarise the dashboards you already have. Chat4ED answers from your whole business context, in seconds.

The question“Why did gross margin drop in March?”

Traditional BIDashboards & reports
Day 0
  1. Day 1Raise a ticket with the data team
  2. Day 3An analyst writes and checks the SQL
  3. Day 8A new dashboard is published
  4. Shows “gross margin −2.8 pts”. The what, not the why.

No whyNext question? A new ticket.

BI copilots & agentsAI add-ons inside BI tools
0 min
  1. ScopeLimited to the dashboards and model already built
  2. AnswerSummarises the chart: “margin fell 2.8 pts”
  3. GapCan’t read the carrier contract or freight policy
  4. A faster what. Still no why, and usually cloud-only.

No whyAnswers stop at the dashboard’s edge.

Chat4EDEnterprise Context Engine
0:00
  1. 0:02Ask by typing or by voice, in any of 27 languages
  2. 0:09Applies your margin definition and your access rules
  3. 0:21Writes the query, then checks it before answering
  4. Why: West freight +18% after the 4 March carrier change explains 2.1 of the 2.8 pts. Forecast and sources attached.

AnsweredNext question? Just ask.

Chat4EDContext → verified answersTraditional BIAnalyst → dashboardBI copilots & agentsDashboard → summaryText-to-SQL toolsSchema → SQLData catalogsMetadata → context
Built inPartial or add-onNot a focusTypical capabilities by product category, based on public information (Oct 2026).

Partners & ecosystem

DataQuaddigi edZeEngaggioAdroit Innovative SolutionsArshaa TechnologiesIndus GroupWiseQStier Solutions
Get started

Ready to make decisions with Chat4ED?

See Chat4ED on your own data, in the cloud or fully inside your network. A 30-minute demo, built around your business.

  1. 1
    We reply within 1 business dayA solutions expert reviews your request.
  2. 2
    30-minute discovery callWe learn your data, your questions and your security needs.
  3. 3
    A demo built for youSee your own questions answered, with your industry's metrics.
8 The Green, Ste A Dover, DE 19901
Monday–Friday, 8:00 am – 5:00 pm

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