AI models Powering our factory of bots
Natural Language
Processing Models
- GPT-3
- DaVinci
- Curie
- Ada
- Babbage
Advanced Language Models
- GPT-4
- GPT-3.5
- LLaMA
- Bard
Image and Creativity Models
- DALL·E
- Midjourney
- MuseNet
- Image GPT
Efficiency and Precision Models
- Embeddings
- Stable Diffusion
- Moderation
- RoBERTa
- Pegasus
What We Offer
AI-Driven Aquaculture Solutions
Designing IoT-powered devices and AI models for real-time water quality monitoring, fish health analysis, and predictive feeding to optimize aquaculture yields.
Data Engineering & Analytics
Building scalable pipelines and analytical models to transform raw sensor, operational, and enterprise data into actionable business insights.
Custom AI & Computer Vision
Engineering custom AI models for tasks like underwater fish detection, textile defect inspection, and smart quality control with real-time feedback loops.
Smart Manufacturing Platforms
Delivering tailored platforms for fiber, yarn, and textile industries to automate inventory, production planning, and sustainability monitoring using AI and IoT.
Tech stack
GENERATIVE AI MODELS
Generative Adversarial Networks
Transformer models
(GPT3, GPT 3.5 Turbo, LaMDA, Wu-Dao)
NEURAL NETWORKS
CNN
RNN
Representation Learning
Manifold Learning
Variational Auto-encoders
Bayesian Network
Autoregressive Network
IMAGE CLASSIFICATION MODELS
VGG-16
ResNet50
Inception v3
EffiientNet
ALGORITHMS
Supervised/Unsupervised Learning
Clustering
Metric Learning
Few-shot learning
Real Use Cases. Real Value.
Real-time dissolved oxygen and water quality monitoring through solar-powered IoT devices in inland fish farms, improving survival rates by 20%.
Drone-based underwater fish health assessment using AI image processing, reducing manual inspections by 60%.
Predictive feeding models using AI-driven Fish Activity Recognition, leading to 15% reduction in feed costs.
Blockchain-based farm-to-fork traceability solutions ensuring quality assurance for shrimp exports from Tamil Nadu and Gujarat.
AI-based pipeline anomaly detection system analyzing vibration and temperature sensor data to predict failures before downtime.
Data-driven maintenance scheduling using custom-built dashboards for oil refinery operations, improving asset lifespan by 18%.
Remote facility monitoring using low-power IoT sensors deployed in offshore rigs to detect leaks, reducing inspection times by 45%.
Energy efficiency optimization for industrial clients via real-time data analysis and actionable AI alerts, cutting energy wastage.
Automated fiber stock management using RFID and AI analytics for yarn and fabric warehouses, reducing stock variance by 12%.
Predictive production planning models for spinning mills using machine learning, optimizing machine utilization rates by 22%.
Smart Quality Control: AI vision systems detecting weaving and knitting defects in real-time with 98% accuracy.
Sustainability dashboards aggregating water, chemical, and energy consumption metrics for textile units, driving green certifications.
