Any electricity bill. Any Indian language.
Nine fields, structured in seconds.
Customers upload a bill as a PDF or a photo, in whatever format their DISCOM issues it and whatever language it's printed in. OCR and an LLM read the page like a person would, then return consumer number, amount, arrears, sanctioned load and five more fields as clean, structured data — ready for underwriting, KYC or onboarding.
Sample facsimile — cycles automatically, or pick a language above.
One assistant. Two ways to reach it.
Full pharmacy commerce, start to doorstep.
Customers text or call — same agent either way. It answers questions on medicine brands and dosage, checks live stock and price, builds the cart, takes the order and confirms delivery, without ever handing off to a human.
From job description to final decision.
One AI-run hiring pipeline.
Three AI agents hand off to each other: one reads the JD and screens resumes, one runs the voice interview and scores the answers, and one sits in on the final Google Meet round to help finalize the shortlist.
Click a stage below to jump there and watch it play through. It also runs on its own.
Every listing has a real price. We find it before we make the offer.
Our valuation model reads a listing the way an experienced buyer would — amenities, locality, comparable sales, and demand signals — and returns a fair-market price in seconds. That tells our acquisition team whether an asking price is undervalued, fair, or inflated, before a single rupee changes hands.
- 01
Scan the listing
Amenities, condition, locality and title data are parsed automatically.
- 02
Score against comps
The model weighs recent sales and demand to output a fair-value range.
- 03
Negotiate with confidence
Acquisition offers are anchored to the model, not the asking price.
Asking price
₹1.42 Cr
AI fair value
₹1.42 Cr
Every player tracked at once —
identity intact through every occlusion.
It's not one player in isolation — the model holds a position and identity for every player on the pitch, frame by frame, for the full 90 minutes. The hard part is occlusion: when one player crosses in front of another, a tracker can lock onto the wrong box once they separate. Re-ID fixes that by matching each player back to their own visual signature the moment they reappear — for every player, every time it happens.
Watch #14 cross #7, then #22 cross #10 — two occlusions, tracked independently.
Frequently Asked Questions
Everything you need to know about our AI solutions across FinTech, HealthTech, HRTech, PropTech, and SportsTech — and if it's not here, our team is one message away.
Q01What is AI-powered electricity bill OCR extraction?
AI-powered electricity bill OCR extracts structured information from PDF or photo bills, including consumer number, bill amount, arrears, sanctioned load, and address. OCR captures the content, while an LLM interprets different bill layouts and languages.
Q02How many Indian languages and DISCOM formats does the solution support?
The solution supports 10+ Indian languages and is designed to process electricity bills across different DISCOM formats and layouts, making it suitable for diverse Indian utility documents.
Q03What information can the AI extract from an electricity bill?
The system extracts nine fields: consumer name, consumer number, DISCOM, bill date, total amount payable, net monthly bill, arrears, sanctioned load, and address. The information can be returned as structured JSON for downstream systems.
Q04What is an AI pharmacy commerce agent?
An AI pharmacy commerce agent handles the customer journey from medicine questions to order confirmation. It can answer medicine-related questions, check live stock and pricing, build carts, place orders, and provide order tracking through WhatsApp or voice.
Q05Can customers order medicines through voice as well as WhatsApp?
Yes. The same AI agent supports WhatsApp chat and voice calls, allowing customers to ask questions, check availability, build their cart, and place orders through either channel.
Q06Can the pharmacy AI agent handle the complete order journey?
Yes. The agent can handle medicine Q&A, stock and price checks, cart creation, order placement, order confirmation, tracking, and refill reminders as part of one conversational experience.
Q07What does an AI recruitment pipeline automate?
The AI recruitment pipeline automates multiple stages of hiring, including JD parsing, resume-to-JD matching, voice interviews, candidate scoring, and final interview assistance through Google Meet.
Q08Can AI conduct interviews as well as screen resumes?
Yes. One AI agent screens candidates against the job description, another conducts and analyzes voice interviews, and a third can join the final Google Meet interview to ask follow-up questions and support candidate evaluation.
Q09How does AI property valuation work?
The AI analyzes property listing information such as amenities, locality, title data, comparable sales, and demand signals to estimate a fair-market value range.
Q10Can AI property valuation support acquisition and negotiation decisions?
Yes. The AI valuation provides an objective pricing reference so acquisition teams can evaluate whether a property is undervalued, fairly priced, or overvalued and use the estimated fair value to support offer decisions.
Q11What is Re-ID in AI sports tracking?
Re-identification (Re-ID) allows the AI system to match a player with their existing identity after they are temporarily hidden by another player. This helps prevent identity switches and maintains a continuous player trace throughout the match.
Q12How many players can the AI track simultaneously?
The solution is designed to track 22+ players simultaneously throughout a full 90-minute match while maintaining player identities through occlusions.
Q13What industries does DevSecCops.ai build AI solutions for?
DevSecCops.ai builds AI solutions for FinTech, HealthTech, HRTech, PropTech, and SportsTech, covering use cases such as document intelligence, conversational commerce, recruitment automation, property valuation, and sports performance analytics.
Q14How can Generative AI be used to build industry-specific business solutions?
Generative AI can understand unstructured documents, interpret natural-language conversations, generate responses, analyze information, and support automated workflows. Combined with OCR, APIs, databases, and business logic, it can power solutions such as AI document processing, conversational AI agents, recruitment assistants, and decision-support applications.
Q15Can Generative AI be integrated with our existing business systems?
Yes. Generative AI solutions can be integrated with existing APIs, databases, CRMs, ERPs, communication channels, and internal workflows. The integration approach depends on the business process, data sources, security requirements, and level of automation required.
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