Machine Learning & AI

Intellias applies deep technological expertise in machine learning and artificial intelligence development services to help clients deliver personalization and customer convenience at scale. Our R&D capabilities and artificial intelligence software development for rapid prototyping and custom machine learning solutions empower clients to tap into unseen market segments, become more efficient, and achieve measurable business outcomes. Intellias strives to delight customers and augment businesses by delivering AI software solutions and machine learning development services.

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Our services

Natural language processing

Understand human language regardless of format

Computer vision

Recognise key objects in a diverse and changing environment

Robotics software

Bring intelligence to robotics by solving nontrivial tasks

Smart AI assistants & chatbots

Support users throughout their product journey

Robotic process automation

Minimize human mistakes and speed up processes

Recommendation engines

Target users with personalised offers, content and services

Social intelligence

Augment AI behavior with human-like response

Predictive maintenance

Detect and prevent potential issues and advance

AI security

Secure AI training data, training pipelines, and ML models

Sensor data analysis & sensor data fusion

Unify collected data from various sensors

Start delivering personalization at scale

AI and Machine Learning R&D

Object recognition for automated driving

We applied computer vision and artificial intelligence development services to recognize objects around a car in real time to make automated driving safe for both pedestrians and drivers.

Prediction of pedestrian movements

Our concept recognizes pedestrians on the road and applies machine learning algorithms to learn pedestrians’ behavior and predict their next move.

Success stories

AI & NLP-driven language learning app

For an educational startup named Alphary, we designed and developed a language learning application with an AI assistant that analyzes students’ answers and accelerates vocabulary acquisition through recent and relevant feedback. The application relies on NLP algorithms with corpus statistics, semantic analysis, information extraction, and machine learning models. Intellias contributed to Alphary’s recognition by Oxford University Press for their breakthrough NLP solution in the educational sphere.

Handwriting recognition software for safer driving

The Intellias team has built an innovative solution for an Android car keyboard application to recognize drivers’ handwritten text. Our experts have successfully conducted an R&D project that demonstrates our strong technological capabilities and background in neural networks, machine learning, and artificial intelligence. This solution is extremely intuitive, recognizing any natural handwriting: uppercase, lowercase, cursive, block, and even superimposed text. The application’s ability to capture handwritten content from scanned images and even suggest and predict words based on a user’s habits and writing style provides convenience to drivers and increases safety.

Simulating Lidar signal with stereovision and algorithms

Intellias team proved the feasibility of transition from RADAR/LiDAR sensors as the primary data source to stereo vision cameras for further development of a pseudo-LiDAR. This project proved that stereoscopic vision combined with object recognition AI-based algorithm can output data of comparable quality to that of actual Lidar/radar sensors. Moreover, simulated Lidar data has an advantage of higher signal density than actual Lidar data, so the strengths of these data modalities can be complementary.

License plate recognition for zero-click payments

Intellias designed a contactless payment solution with client authentication based on computer vision and geofenced location tracking. We have provided automatic license plate recognition, car trajectory tracking, and automatic payment based on credit card information. Once the object detection analysis outputs a positive result, it triggers optical character recognition for the license plate detection. The AI&ML team has achieved 94.3% of recognition accuracy even at long distances, in poor weather conditions, and for dusty license plates.

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