Speed
A working agent on your data in about three weeks. Every agent shares one loop, so new ones are configured, not rebuilt.
NEW 38 self-healing agents, now running on AWS
Next-gen operations with AI agents
While you sleep, agents fix your KYC filesstock countsproduct listingsad datasupport ticketsloan applications
DigiQuench agents check your business data on a schedule, fix what is safe, send anything risky to a person, and report every change on one dashboard. For lenders, retailers, D2C brands, agencies and data teams.
From ₹3,999 / $79 a monthRead-only access to your dataRisky actions need your approval
OverviewRunsApprovalsIssuesModelsLakehouseControl Tower
all 38 agents · last runAgent runs3838 succeeded
Issues found1,768263 planted
Fixed + verified1,703re-checked
Awaiting approval65high risk
Issues found vs fixed by industry
Most issues this run
16ReturnsBotheld
15PriceWatchok
25PatientFlowheld
30CareBotok
29LabLinkok
Built with
Amazon BedrockLangGraphCrewAIn8nAmazon S3AthenaCloudWatchscikit-learnDuckDBFastAPIAmazon BedrockLangGraphCrewAIn8nAmazon S3AthenaCloudWatchscikit-learnDuckDBFastAPI
How it works in 20 seconds
From messy data to verified fixes
Every DigiQuench agent follows the same six steps. Watch the light travel through them.
INYour dataExports, databases and apps, read-only
01DetectRules and trained models find problems
02DiagnoseEach problem named, with evidence
03PlanRisk policy: fix now or ask you
04Fix + verifySafe fixes applied, then re-checked
05Approve + reportRisky items wait for one click; you get the report
Watch one table heal
This is what every agent does, on every run.
- Detect. The agent scans every row with rules and trained models.
- Diagnose. Each problem gets a name and evidence: blank amount, negative amount, duplicate, fraud risk.
- Plan. The risk policy decides: low risk is fixed now, high risk goes to a person.
- Fix. Safe fixes are applied to a healed copy, never silently to your source system.
- Verify. The checks run again. Anything still wrong is retried or reported.
- Approve + report. You approve or reject the risky item with one click, and the run is reported.
transactions_cc · sample from the FraudShield demoready
| Record | Field | Value | Agent |
|---|---|---|---|
| TXN-1041 | amount | 2,450.00 | clean |
| TXN-1042 | amount | quarantined + re-requested | fixed ✓ verified |
| TXN-1043 | amount | 189.47 (sign fixed) | fixed ✓ verified |
| TXN-1044 | txn_id | duplicate removed | fixed ✓ verified |
| TXN-1045 | fraud_score | 0.99 | waiting for your approval |
| TXN-1046 | amount | 720.00 | clean |
found 4fixed + verified 3waiting for you 1loops every few seconds
We help businesses run on clean, trustworthy data with 38 specialist agents, one Control Tower and a risk policy you control. Find problems early, fix the safe ones automatically, and keep a person in charge of everything that matters.
Fintech6 agentsWhy DigiQuench
What sets DigiQuench apart
Measured, governed and cheap to run: agents that prove what they fixed.
Deep capabilities
Rules plus seven trained models for detection, LangGraph for the self-healing loop, CrewAI crews for writing, and Amazon Bedrock for language.
Control
Low, medium and high risk. You choose which fixes run on their own and who approves the rest.
Flexibility
Works with exports, SQL views and APIs you already have. Swap the model per client with one setting.
Ready to see it on your data?
Let's make it happen. We reply within one business day.
Features
All-in-one agents for operations
Detect, fix, verify and report: one connected platform for every agent.
38 agents for real work
Specialists for six industries. Each one owns a job your team does by hand today: checking KYC files, fixing stock counts, completing listings, chasing suppliers.
FintechRetailE-commerceMarketingData teamsHealthcare (demo)
FraudShield KYC AutoFlow InventoryIQ CatalogueAI
One self-healing loop
Every agent runs the same LangGraph graph: detect, diagnose, plan, fix, verify, report, with a retry edge when a check still fails.
LangGraphCrewAI crewsAmazon BedrockRisk policyOffline fallback
detect → verifyYour data sources
Agents read what you already have, read-only, and write healed tables to a lakehouse on S3 that you can query with SQL.
CSV / Excel exportsPostgres & MySQLGoogle SheetsShopifyTicket tools
Steps to start
3 steps to a working agent
From first demo to measurable results in about three weeks.
01 · free · 30 minutes
See the agent closest to your problem
We run it live on public data with planted problems. You watch it find them, fix the safe ones and wait for your approval.
- Pick from 38 agents across six industries
- Break the data and watch it heal
- Approve or reject a risky fix yourself
Live demo02 · two weeks · ₹35,000 / $1,200
Measure it on your data
The agent runs on a read-only sample. Your team labels 50–100 records, and we report accuracy, an ROI baseline and a fixed quote.
- Read-only access under a data processing agreement
- Accuracy measured on records you label
- Fee credited to a build within 60 days
Recall on your labels Zero unapproved risky actions Hours saved baseline
03 · two to four weeks
Pilot, then run monthly
One agent on live exports with written success criteria and a weekly 15-minute review. Then an Agent Pack subscription with a monthly report.
- Conservative approval rules at first
- Your own view of the Control Tower
- Monthly results report in your numbers
Pilot agent Configure rules Connect exports Launch agent
Data and privacy
Multi-layer safety
Protect your business with layered controls, from read-only data access to human approval for every risky change.
Read-only exports, IAM roles instead of stored keys, encryption at rest and in transit, and only HTTPS open to the internet.
Anything that moves money, blocks access, merges identities or prices below cost waits in the approvals queue for a named person. Every decision is logged.
You stay the Data Fiduciary; DigiQuench processes under a written agreement. Indian client data stays in AWS Mumbai, with India-only model processing available.
Agent Packs
Multiple Packs, one platform
Bundles of agents for one part of your business, set up with you and run for you.
Support Desk
Any business with an inbox: D2C, fintech, clinics, services
- Customer Support (Fintech)
- Customer Service (Retail)
- ReturnsBot
- ApptIQ
- Agents
- 06 · Customer Support (Fintech) — Routes fintech support tickets correctly and finds knowledge-base gaps.
- 11 · Customer Service (Retail) — Routes retail support tickets and links them to the right order.
- 16 · ReturnsBot — Decides returns by policy and flags serial returners.
- 28 · ApptIQ — Removes double bookings and predicts no-shows.
- Outcome
- Target: 30–55% of routine queries resolved or correctly routed without a person
- Connects to
- Freshdesk, Zendesk, Gmail, WhatsApp, calendars
LendFlow
Registered small lenders and NBFCs in India
- KYC AutoFlow
- LoanProcess
- ComplianceBot
- Agents
- 02 · KYC AutoFlow — Checks KYC records, catches bad documents and duplicates before they reach underwriting.
- 04 · LoanProcess — Repairs loan applications and flags high-risk ones with a model score and reasons.
- 05 · ComplianceBot — Finds misclassified NPAs and missing KFS, then drafts the regulatory return.
- Outcome
- Target: KYC turnaround from days to hours; 30–50% less underwriting preparation
- Connects to
- Loan system exports, Account Aggregator, bureau pulls
DineDesk
Restaurants and cloud kitchens
- InventoryIQ
- SupplierLink
- Agents
- 07 · InventoryIQ — Keeps stock data clean and drafts purchase orders before items run out.
- 10 · SupplierLink — Chases late suppliers and scores them, with emails drafted by an AI crew.
- Outcome
- Target: 20–30% fewer stock-outs on fast movers; no late delivery unnoticed for more than a day
- Connects to
- POS exports, supplier email, WhatsApp
Commerce
D2C brands and marketplace sellers
- CatalogueAI
- ReviewMine
- PriceWatch
- ReturnsBot
- EmailFlow
- Agents
- 13 · CatalogueAI — Fills missing product content and fixes non-compliant titles.
- 14 · ReviewMine — Turns reviews into quality tickets and spots complaint spikes.
- 15 · PriceWatch — Responds to competitor undercuts inside your floor and cap.
- 16 · ReturnsBot — Decides returns by policy and flags serial returners.
- 18 · EmailFlow — Recovers abandoned carts with consent-checked emails.
- Outcome
- Target: every listing complete; undercuts answered within 30 minutes; 5–15% cart recovery
- Connects to
- Shopify, WooCommerce, marketplaces, email
Content Studio
Agencies, hotels, creators and brands
- ContentGen
- SEOScout
- AdCreative
- SocialScheduler
- Agents
- 19 · ContentGen — Finds gaps in the content calendar and writes the missing posts.
- 20 · SEOScout — Crawls a site, fixes SEO basics and writes content briefs.
- 21 · AdCreative — Fixes broken ad data and writes new variants for weak ads.
- 23 · SocialScheduler — Schedules approved posts and resolves slot clashes.
- Outcome
- Target: no empty weekdays in the calendar; zero pages missing titles or meta descriptions
- Connects to
- CMS, schedulers, ad platforms
Insight
Owners and CFOs with data in several tools
- RetailAnalytics
- PerformReport
- DataAnalyse
- QueryIQ
- DataReport
- Agents
- 12 · RetailAnalytics — Cleans sales data and writes the owner's daily brief.
- 22 · PerformReport — Builds the daily campaign brief and flags CPA spikes.
- 35 · DataAnalyse — Finds anomalies in metrics and explains them.
- 36 · QueryIQ — Answers plain-English questions with safe, read-only SQL.
- 37 · DataReport — Writes and sends grounded data reports.
- Outcome
- Target: report preparation from hours to minutes; anomalies explained within an hour
- Connects to
- Postgres/MySQL, Google Sheets, Shopify, ad platforms
Proof
Results you can check
Recorded results from our full platform test on public and synthetic data with planted problems. Client case studies will follow pilots.
14/39fixed + verified / found
25 held for approval
25 held for approval
Blank amounts, negative amounts and duplicate events planted in a 20,000-row sample of card payments. The agent found all 14 and repaired or quarantined them, then held 25 high-risk transactions for an analyst, each with a plain-English reason.
FraudShield AgentAgent 01 · Fintech · recorded platform test, November 2026
28/36fixed + verified / found
8 held for approval
8 held for approval
1,500 synthetic KYC records with badly formatted PANs, missing addresses, expired documents and name mismatches. 28 were handled with a drafted request for exactly the right document; 8 possible duplicate identities went to compliance.
KYC AutoFlow AgentAgent 02 · Fintech · recorded platform test, November 2026
42/42fixed + verified / found
0 held for approval
0 held for approval
Out-of-range stock levels, missing sales figures and duplicate records in retail inventory, plus 25 items about to run out. All 42 were handled and re-checked, with a purchase order drafted for every stock-out risk.
InventoryIQ AgentAgent 07 · Retail · recorded platform test, November 2026
251/259fixed + verified / found
8 held for approval
8 held for approval
259 return requests checked against policy: 117 approved, 110 declined with an explanation, 21 asked for a photo. The 8 from serial returners waited for a person, because refunds move money.
ReturnsBot AgentAgent 16 · E-Commerce · recorded platform test, November 2026
31/31fixed + verified / found
0 held for approval
0 held for approval
NYC taxi trips with missing passenger counts, negative fares, impossible distances, duplicates and drop-offs before pick-ups. All 31 planted problems were found and fixed or quarantined before the gold layer.
DataClean AgentAgent 32 · Data Automation · recorded platform test, November 2026
38agents across six industries
263problems planted in demo data
1.00recall on 22 measured agents
1,703fixes applied and re-checked
53/53automated tests passing
Pricing
Flexible plans for every team
Start small, measure the results, then grow.
2 months free
Prices in INR, excluding GST.
Starter
₹3,999 / month
Talk to us- 1 Agent Pack
- 1 channel
- 1,000 AI tasks a month
- 2 seats
- Standard monthly report
- Email support, 1 business day
Growth
₹11,999 / month
Talk to us- Everything in Starter
- 2 Agent Packs
- 3 channels
- 5,000 AI tasks a month
- Integrations included
- Monthly ROI report
- Email + WhatsApp, same business day
Go for more power
Scale & Enterprise
Scale from ₹34,999 / month: 4 Packs, 15,000 AI tasks, custom workflows. Enterprise: dedicated AWS environment, security review, SSO.
- 4+ Agent Packs, all channels
- Dedicated AWS environment option
- Security review and DPA
- Agreed service levels
FAQ
Curious about DigiQuench?
Answers to common questions about our agents and how we work.
What is DigiQuench?
A Bengaluru company that runs self-healing AI agents as a service. Each agent checks one part of your business data on a schedule, fixes what is safe, sends anything risky to a person, and reports every change on one dashboard.
How are agents different from automation tools?
Automation follows fixed steps. An agent runs a loop: it detects problems, explains them, plans fixes under a risk policy, applies them, then checks again that the fix worked. Anything risky waits for your approval.
Can DigiQuench work with our existing systems?
Yes. Agents read read-only exports, database views or APIs (Shopify, Google Sheets, Postgres, loan systems, ticket tools). n8n connects schedules, webhooks and alerts to the tools you already use.
Is it secure for business data?
Data stays in AWS Mumbai for Indian clients, access is read-only during the audit, every call uses IAM roles instead of stored keys, and risky actions need a named person's approval. See Trust & security.
How quickly can we start?
A 30-minute demo this week, a two-week audit on a sample of your data, then a 2–4 week pilot with written success criteria. Most teams see a working agent on their data within three weeks.
Will agents replace our staff?
No. They remove repetitive checking and fixing so your team spends its time on decisions. High-risk changes always stay with a person.
How do we know it works on our data?
We measure it. In the audit, the agent runs on records your team has labelled, and we report how many real problems it found and how many fixes your staff approved.
What does it cost?
Agent Packs start at ₹3,999 / $79 a month. The two-week audit is ₹35,000 / $1,200 and is credited to a build if you go ahead within 60 days.
Integration
Smart, agent-driven integration
Connect exports, databases and SaaS tools through n8n and read-only adapters. Agents run on AWS with Bedrock, S3 and CloudWatch.
Bedrock
S3 + Athena
CloudWatch
n8n
Sheets & SQL
SES email
All 38 agents
01FraudShield02KYC AutoFlow03AML Monitor04LoanProcess05ComplianceBot06Customer Support (Fintech)07InventoryIQ08DemandCast09PriceSync10SupplierLink11Customer Service (Retail)12RetailAnalytics13CatalogueAI14ReviewMine15PriceWatch16ReturnsBot17RecoEngine18EmailFlow19ContentGen20SEOScout21AdCreative22PerformReport23SocialScheduler24AudienceIQ25PatientFlow26DocuCare27ClaimsSmart28ApptIQ29LabLink30CareBot31DataIngest32DataClean33DataTransform34DataEnrich35DataAnalyse36QueryIQ37DataReport38DataGovern
Step into DigiQuench.
Agents that heal your data.
Watch an agent find planted problems, fix the safe ones and wait for your approval on the rest. Thirty minutes, live.