| Vision |
Pharmaceuticals |
GMP/GLP |
Computer vision system for monitoring cleanroom and sterile manufacturing zones to enforce GMP/GLP protocols. Cameras track operator behavior around settle plates, laminar air flow units, and filling lines. The model flags violations such as improper gowning, bending, vigorous movement, overcrowding, and unsanitized tool use. Each deviation is logged with a timestamp and video clip for audit and CAPA purposes. Real-time alerts let supervisors intervene before contamination risk escalates. Reduces dependence on manual floor audits. Strengthens regulatory compliance readiness in industries. |
- Bending over settle plate
- Check Vigorous Movement
- Check More than 6 persons
- Fast Handling of LAF
- Person leaned
- Disturbing the settle plates from the original location
- Unwanted materials stored in the area
- Writing on Gloved Hand
- Detection of Filling Activity
- Improper Gowning
- Cleaning activity during settle plate exposure
- Person Bent Near Swing Conveyor
- Goggles not worn as per procedure
- Door opening with hand
- Not using sanitized forceps
- Picking up an ampoule fallen on the floor during filling
- Standing with the support of the machine
- Beard Detection
- Nail Detection
|
| Vision |
Pharmaceuticals |
GMP |
Vision-based monitoring system for detecting specific GMP behavioral violations on the production floor. Focuses on two high-risk postures: hands below waist level and bending near sensitive equipment or product zones. Runs on live CCTV feeds and triggers instant alerts on violation detection. Events are logged with video evidence for compliance documentation and trend analysis. Aggregated data highlights recurring problem zones or shifts, enabling targeted retraining. Shows how narrow, high-precision vision models can be deployed quickly for specific compliance gaps. Applicable across regulated production environments. |
- Hand below waist
- Bending of person
|
| NLP |
Pharmaceuticals |
Documnet compliance |
NLP-driven document compliance system that automates comparison of internal SOPs against external regulatory documents. Performs AI-powered gap analysis to identify where an SOP deviates from current regulatory requirements. Recommends specific modifications to close identified gaps. Maintains a centralized repository for regulatory documents and tracks SOP versions through upload and review workflows. Generates compliance reports routed through manager approval workflows. Keeps the organization continuously audit-ready rather than relying on periodic manual review. Reduces time and expertise needed to keep SOPs aligned with evolving regulations. |
- SOP vs regulatory document comparison
- AI-powered compliance gap analysis
- SOP modification recommendations
- Regulatory document repository management
- SOP upload and tracking workflows
- Compliance report generation
- Manager approval workflows
- Audit-ready compliance monitoring
|
| Vision |
Seafood Processing / Food Manufacturing |
Packet Counting |
Vision system for automating packet and unit counting on high-speed conveyor lines. Uses high-speed object detection and tracking to count items accurately even at fast line speeds, replacing manual counting. Counts are logged at batch level, feeding real-time production dashboards for live throughput visibility. Automatically records production data for traceability and quality assurance reporting. Also monitors conveyor line efficiency to flag bottlenecks or slowdowns. Improves counting accuracy and reduces labor dependency. Strengthens quality and compliance documentation in processing operations. |
- Automated shrimp counting on conveyor lines
- Packet counting and verification
- High-speed object detection and tracking
- Batch-level production monitoring
- Real-time production dashboards
- Automated production data logging
- Quality assurance and traceability reporting
- Conveyor line efficiency monitoring
|
| Vision |
Seafood Processing / Food Manufacturing |
Shrimp Counting |
Vision-based counting solution for accurately counting small, densely packed, fast-moving items such as shrimp at high volume. Replaces manual counting, which is slow and inconsistent at scale. Uses object detection tuned specifically for high-density, high-speed counting scenarios. Output feeds directly into production and batch records, reducing discrepancies between counted and actual quantities. Improves accuracy in grading, packing, and dispatch operations. Reduces labor cost and processing time on the line. |
- Automated shrimp counting on conveyor lines
- Packet counting and verification
- High-speed object detection and tracking
- Batch-level production monitoring
- Real-time production dashboards
- Automated production data logging
- Quality assurance and traceability reporting
- Conveyor line efficiency monitoring
|
| LLM |
Automotive Marketplace / Digital Commerce |
Similfypath Bot on Whatsapp |
WhatsApp-based app that consolidates HR and administrative workflows, previously scattered across multiple internal tools, into a single conversational interface. Automates actions including leave requests, payslips, reimbursements, attendance, and profile updates, without requiring VPN access, logins, or a dedicated app. Includes an AI-powered Q&A assistant that answers policy and HR queries using role, entity, and geography-aware context, plus a train-the-bot feature that ingests new PDFs or URLs instantly. |
- Vehicle listing and discovery
- Buyer-seller interaction workflows
- AI-based vehicle recommendations
- Vehicle inspection tracking
- Vehicle pricing and valuation assistance
- Inventory and listing management
- Customer engagement workflows
- Transaction lifecycle management
|
| NLP/STT |
Healthcare / Hospitals |
Medical Transcription |
NLP and speech-to-text solution that automates medical transcription, converting doctor-patient conversations and clinical dictation into structured text records. Captures spoken clinical notes in real time or from recordings, accounting for medical terminology and accents. Structures transcribed output into standard clinical note formats for entry into electronic health records. Reduces the administrative burden on physicians who would otherwise spend significant time on manual documentation. Improves record consistency and legibility versus handwritten notes. Speeds up patient throughput. Frees clinical staff to focus more on patient care. |
|
| NLP/STT |
Life Insurance / BFSI |
Automatic Claim process |
Combines an AI chatbot with claims and policy servicing automation to modernize policyholder support. The chatbot handles queries, offers personalized policy recommendations, and guides customers through claims assistance workflows. Performs sentiment analysis to flag dissatisfaction early and supports omnichannel engagement across touchpoints. AI-driven onboarding workflows reduce friction for new policyholders, while servicing automation handles routine requests without human intervention. Retention analytics surface at-risk customers for proactive outreach. Reduces service turnaround time and improves the overall claims experience. |
- AI chatbot for policyholder support
- Personalized policy recommendations
- Claims assistance automation
- Customer sentiment analysis
- Omnichannel customer engagement
- AI-driven onboarding workflows
- Policy servicing automation
- Customer retention analytics
|
| Vision |
Life Insurance / BFSI |
Address Update Process |
Computer vision solution that automates updating individual's addresses using submitted documents or images. Extracts address information directly from scanned or photographed documents, removing manual data entry by service staff. Validates extracted data against existing records to flag mismatches or incomplete information before an update is processed. Reduces turnaround time for a routine but high-volume servicing request. Lowers error rate compared to manual keying and cuts operational cost per request. Applicable to similar address or KYC update processes. |
|
| NLP/LLM |
Automotive / Enterprise Sales Operations |
Ticket Update Process |
NLP/LLM-powered chat bot that gives sales teams conversational access to CRM data without opening a full CRM application. Reps can update leads, log sales opportunities, and manage tasks and meetings directly through chat. Pushes real-time sales notifications and supports conversational analytics on pipeline activity. Enables mobile-first operations for field teams rarely at a desktop. Integrates directly with CRM workflows so chat updates sync back to the core system. Reduces friction in data entry. Improves timeliness and completeness of CRM records. |
- WhatsApp-based CRM access
- Conversational lead management
- Sales opportunity updates via chat
- Task and meeting management
- Real-time sales notifications
- Conversational analytics
- Mobile-first sales operations
- Salesforce workflow integration
|
| Vision |
Textile / Home Furnishing Manufacturing |
QC of bedsheet manufacrturing |
Computer vision quality control system that inspects textile products on the manufacturing line for defects such as stitching errors, fabric flaws, print misalignment, or stains before packaging. Cameras positioned along the line capture continuous imagery analyzed in real time against defined quality standards. Defective items are automatically flagged for removal or rework. Replaces or augments manual visual inspection, which is slower and inconsistent across shifts. Generates defect trend data tied to specific machines or raw material batches. Improves overall product quality and reduces returns. |
|
| NLP |
Power & Utilities |
CF Process |
NLP-based solution that automates a recurring internal case-handling process for a power distribution utility by extracting and processing information from operational documents and records. Reduces manual effort in reviewing and processing case-related paperwork through automated classification, extraction, and routing. Standardizes how similar requests are handled across teams, improving consistency and turnaround time. Creates a structured, searchable record of processed cases for easier audits and reporting. Reduces manual workload on operations staff. Representative of how NLP streamlines high-volume administrative processes in utility operations. |
|
| LLM |
Power & Utilities |
DocAI |
LLM-powered intelligent document processing platform for automating handling of enterprise documents at scale. Classifies incoming documents automatically and extracts relevant data fields without manual review. Indexes extracted content into a searchable repository for easy retrieval. Routes documents through automated workflow approvals, reducing bottlenecks in multi-step sign-off processes. Generates AI-driven reports and analytics on document volumes, processing times, and bottlenecks. Improves operational transparency and audit readiness through a centralized, traceable repository. Reduces manual document handling effort across back-office operations. |
- Intelligent document processing automation
- AI-based document classification
- Data extraction from enterprise documents
- Searchable document indexing
- Automated workflow approvals
- AI-driven reporting and analytics
- Enterprise document repository management
- Operational document traceability
|
| Vision |
Operational document traceability |
OCRof FD Forms |
Computer vision solution that digitizes handwritten deposit forms using Intelligent Character Recognition (ICR). Extracts critical financial information such as PAN details, bank account information, nominee details, and investment amounts directly from scanned forms. Intelligent preprocessing removes form lines, boxes, and layout noise to improve recognition accuracy on handwritten text. Converts unstructured handwritten data into structured, system-ready formats. Eliminates manual data entry for a high-volume, error-prone process. Integrates with deposit management systems to speed up onboarding. Reduces processing time and manual errors. |
- Automated digitization of handwritten public deposit forms using Intelligent Character Recognition (ICR).
- Extraction of critical financial information such as PAN details, bank account information, nominee details, and investment amounts.
- Intelligent preprocessing to remove form lines, boxes, and layout noise for better recognition accuracy.
- Automated conversion of unstructured handwritten data into structured, system-ready formats.
- Seamless integration with financial and deposit management systems for faster onboarding and processing.
|
| Vision |
NBFC / Lending |
OCR of cheques and form |
Vision-based OCR solution that automates data extraction from loan applications, cheques, and KYC documents. Recognizes handwritten cheque details, extracts IFSC codes, account numbers, and amounts, and digitizes KYC documents for validation. Cross-checks extracted data automatically against existing records to detect discrepancies. Performs face matching for biometric identity verification, adding a layer of fraud prevention to KYC checks. Automated pass/fail indicators give staff immediate visibility into document status. Integrates with loan management systems for a seamless workflow. Reduces manual verification effort in loan origination. |
- OCR-based loan application data extraction
- Handwritten cheque data recognition
- KYC document digitization and validation
- Automated discrepancy detection against DB/Excel records
- IFSC code, account number, and amount extraction
- Face matching for biometric identity verificationy
- Fraud prevention through automated KYC checks
- Automated loan document verification workflows
- CRM and loan management system integration
- Real-time pass/fail validation indicators
- Structured conversion of unstructured financial documents
- Audit-ready financial document processing
|
| Vision |
OTT / Media & Entertainment |
Emotion Detection |
Computer vision solution that detects viewer emotional responses to video content using facial expression analysis. Analyzes viewer video feeds or recorded reactions to classify emotions such as happiness, surprise, boredom, or disengagement. Provides granular insight into audience engagement at specific points in a video, beyond what click or watch-time data alone reveals. Supports better content curation, trailer selection, and advertising placement decisions. Applicable to customer experience research and testing scenarios beyond media. |
|
| Vision |
Paper Manufacturing / Industrial Manufacturing |
Hygine and Compliance |
Computer vision platform that monitors hygiene and safety compliance across manufacturing facilities using CCTV feeds. Covers kitchen and café hygiene, PPE compliance, person detection and counting at checkpoints, and vehicle number plate recognition at entry zones. Detects unsafe behaviors such as horizontal posture or sleeping, phone use during work hours, and potential theft or fraud. Additional modules monitor raw material wastage and analyze flow meter and fiber content data. Generates real-time alerts so supervisors can act immediately on violations. Reduces compliance risk and operational losses across the facility. |
- Hygine in cooking area - Kitchen
- Person Detection & Counting (Checkpoints / Zones)
- Vehicle Number Plate Recognition (ANPR/NPR)
- Comprehensive PPE Compliance
- Horizontal Posture & Sleeping Detection
- Café & Server Hygiene Monitoring
- Electronic Distraction — Phone Detection
- Theft & Fraud Detection
- Raw Material Wastage Detection
- Flow Meter & Fiber Content Analysis
|
| Vision |
Electrical Equipment Manufacturing |
Document Automation |
Computer vision-based document automation solution that applies OCR to invoices to extract line-item data, vendor details, and amounts automatically. Handles varying invoice formats and layouts, adapting extraction logic to different templates. Reduces processing time per invoice and lowers error rate versus manual keying. Creates a structured, searchable record of processed invoices for audit and reconciliation. Broadly applicable to any invoice-intensive back-office function. |
- OCR of Invoices and automation Process
|
| Vision |
Financial Services / NBFC |
Document Automation |
Document automation solution that reads and interprets agreements, extracting key structured data such as financial terms, important dates, renewal conditions, and contractual obligations. Automatically generates structured summaries from the extracted information, eliminating the need for manual review of lengthy documents. Reduces time spent interpreting agreements clause by clause. Lowers the risk of missed or misread terms that could lead to operational or financial errors. Structured output can feed directly into enterprise systems for automated tracking, reporting, and reconciliation. Applicable to any organization managing large volumes of contracts and business agreements. |
- Understanding Rent agreements and fetching data out of that, creating rent schedule
|
| Vision |
Automotive Seat Manufacturing |
QC for Seat Manufracturing |
Computer vision quality control system that inspects products after production to detect defects such as surface imperfections, assembly issues, or dimensional misalignment. Cameras capture each finished unit and compare it against defined quality standards to flag defective items before they move to the next stage of the process. Reduces reliance on manual visual inspection, which can vary across operators and shifts. Automated inspection maintains production throughput while identifying issues early. Generates defect data traceable to specific production batches or equipment for root-cause analysis. Explored in discussion but not yet piloted. |
- QC for the seats after production
|
| Vision, NER |
Defence & Government |
|
Combines computer vision and NER to enable secure, air-gapped multilingual document search and analytics across enterprise environments. Performs OCR on scanned documents, detects source language, and translates content for cross-lingual search and analysis. Ingests multiple document formats and applies offline AI-powered analytics without internet connectivity, making it suitable for highly secure and regulated settings. |
- Air-gapped multilingual document search
- OCR for scanned intelligence documents
- Language detection and translation
- Offline AI-powered analytics
- Multi-format document ingestion
- Role-based secure access control
- Kubernetes-enabled on-prem scalability
- Physical dongle-based deployment security
|
| NER |
Enterprise Technology / IT Infrastructure |
Similar to DRDO |
Mirrors a secure, on-premise document intelligence architecture, adapted for a broad range of enterprise use cases. Applies NER to extract structured information from large document volumes without relying on cloud connectivity. Targets organizations requiring advanced document AI while maintaining strict data residency and security requirements. Supports offline processing and role-based access to keep sensitive information compartmentalized.
|
|
| Vision |
Automotive Insurance / Vehicle Assessment |
Automobile Parts |
Computer vision solution that assesses the physical condition of assets from images for inspection and evaluation purposes. Analyzes photos to identify damage, wear, or missing components relevant to an assessment. Speeds up review processes by providing an automated first-pass condition analysis rather than relying solely on manual inspection. Creates a consistent, documented record of asset condition that can support audits and dispute resolution. Applicable across industries that manage physical assets at scale. |
- Understanding the current condition of automobile parts for insurance
|
| Vision |
Ports & Maritime Logistics |
OCR of Containers |
Computer vision solution that performs OCR on shipping containers to automatically read and log container numbers as they move through a terminal. Replaces manual logging of container IDs, which is slow and prone to transcription errors in high-throughput port environments. Cameras at key checkpoints capture container images and extract identification numbers in real time. Data feeds directly into terminal operating systems for tracking and reconciliation. Reduces bottlenecks at gates and yard checkpoints. Improves traceability and operational efficiency. |
|
| Vision |
Ports & Maritime Logistics |
Container health check |
Computer vision solution that inspects containers to assess physical condition, identifying damage such as dents, rust, or structural issues. Automates a task traditionally performed through manual visual inspection by yard staff, improving consistency and speed. Logs condition assessments against each container's identification, creating a traceable damage history over time. Supports faster dispute resolution between shipping lines, terminals, and leasing companies over damage liability. Helps identify containers requiring repair before further use. Improves operational efficiency and reduces condition-related disputes. |
- Checking the condition of container
|
| LLM |
Industrial Manufacturing |
Document genration process |
LLM-powered solution that automates document generation by comparing multiple source documents and producing a new document from the reconciled outcome. Analyzes inputs to identify matching, conflicting, or complementary content and merges relevant information into a single output. Reduces manual effort required to reconcile and draft documents from multiple sources across business workflows. Minimizes the risk of human error when combining information from lengthy or complex documents. Generated output follows a consistent structure, improving downstream usability and processing. |
- Matching two documents and creating another document from the final outcome
|
| LLM OCR |
Mortgage Broking / Financial Services |
AI Virtual Assistant for Mortgage Broking |
AI virtual assistant that automates client onboarding, replacing manual, form-based data collection with a guided conversational experience. Collects and validates sensitive documentation while maintaining adherence to organizational compliance, identity verification, and data protection requirements. Provides real-time visibility into each client's onboarding status, eliminating the need for manual follow-ups and status tracking. Reduces manual errors and incomplete data sets that can delay processing. Replacing rigid workflows with natural interactions improves the overall user experience. Cuts operational effort while strengthening consistency and compliance across onboarding processes. |
- Mortgage processes were manually driven and lacked a cohesive flow for client data collection
- High operational effort required to collect, validate, and organize sensitive client documentation
- Difficulty maintaining strict adherence to GDPR, identity verification, and Anti-Money Laundering (AML) requirements
- Lack of real-time visibility for brokers into their clients' progress during the onboarding journey
- High risk of manual errors, inconsistencies, and incomplete data sets during the application phase
- Poor client satisfaction resulting from lengthy, rigid, form-based workflows
|