Coding & Development

TDK SensEI is an Edge AI platform designed to transform industrial operations by offering a comprehensive suite of tools, services, expertise, and systems. It enables the development, deployment, and scaling of industrial-grade Edge AI applications across diverse industrial environments. The platform is backed by a team of experienced AI engineers, ensuring robust support and advanced capabilities for users. TDK SensEI focuses on integrating AI directly into edge devices, facilitating real-time data processing and decision-making closer to the source of data generation, which is crucial for efficiency and responsiveness in industrial settings.

Snowglobe is a boutique consultancy founded in 2022 by Martin Debus, specializing in Azure Databricks. They focus on building scalable, adaptable data ecosystems that transform data into a strategic asset for businesses. Snowglobe offers services to get clients up and running with Azure Databricks quickly using their Deployment Playbook, guiding IT and data teams through critical setup decisions and establishing best practices. They also implement and optimize data pipelines, integrating new data sources and developing minimal viable products for new data initiatives. Furthermore, Snowglobe supports continuous value delivery by helping teams adopt new Databricks features, troubleshooting data quality issues, and implementing lean data operations for efficiency and scalability.

CyberSwarm Inc. is an AI-enabling neuromorphic engineering company dedicated to revolutionizing AI through neuromorphic engineering, inspired by the biological brain. Their core technology focuses on developing low-power, edge-computing AI engines capable of local processing, eliminating the need for continuous internet or cloud connectivity. This allows for intelligent and truly autonomous devices, from IoT to robots and cars. Key features include self-learning capabilities assimilated at the hardware level, increased processing capacity through analog methods, high parallelism, and enhanced data privacy as all computations are performed locally. The company aims to create energy-efficient, versatile, and adaptable AI systems.

Techindika is a leading technology solutions company based in India, dedicated to transforming innovative ideas into tangible digital solutions. They specialize in providing a comprehensive suite of IT services, including cutting-edge software development and robust web solutions. With a focus on innovation and scalability, Techindika aims to meet the evolving needs of businesses by converting imagination into reality. Their expertise spans various technologies, including Next.js, to deliver top-notch services to clients seeking advanced technological solutions.

SReC is a PyTorch implementation of "Lossless Image Compression through Super-Resolution." This open-source tool leverages neural networks to achieve state-of-the-art compression rates on large datasets with practical runtimes. It supports full training, compression, and decompression functionalities, allowing users to convert images into highly compressed .srec files and then back to PNG without loss. SReC provides pre-trained models for datasets like ImageNet64 and Open Images, making it accessible for immediate use. The project is hosted on GitHub, offering a comprehensive solution for efficient and high-quality image data management.

STAR is an advanced AI tool designed for real-world video super-resolution, leveraging spatial-temporal augmentation with text-to-video models. It significantly enhances video quality and clarity, making it suitable for various applications. The tool provides both I2VGen-XL and CogVideoX-5B based models, catering to different degradation levels in videos. Users can input low-quality videos and either provide a text prompt, automatically generate one, or use no prompt for enhancement. STAR is open-source and available on GitHub, offering inference codes and training capabilities. It requires substantial VRAM, recommending at least 24GB for optimal performance, and includes detailed instructions for setup and usage.

Appvance AIQ is an AI/ML software quality platform designed for intelligent, autonomous software testing. It leverages AI-driven test creation to explore applications, functions, and user flows, identifying bugs that other technologies might miss. The platform offers practically 100% application coverage and features self-healing, resilient test scripts for web, native mobile, and API quality, accessible via a no-code/low-code interface. Appvance AIQ supports end-to-end testing, including load, performance, and security testing, all within a unified architecture. It aims to accelerate release delivery and improve user experience across various applications, adapting with every release.

Baobab Tech specializes in building open-source AI solutions with a focus on social impact. They assist organizations in harnessing the power of their data to uncover innovative operational strategies. The team develops solutions, offers strategic advice, and creates AI techniques specifically designed for social impact organizations. Their work aims to sharpen human judgment through AI, ensuring that technology serves humanitarian and developmental goals. Baobab Tech emphasizes a human-centric approach to AI development, making complex AI accessible and beneficial for non-profits and businesses seeking to make a positive societal difference.

BackStrat is a professional backtesting platform designed for traders and institutions to build, test, and optimize their trading strategies. It features a high-performance C++ engine that processes millions of data points in seconds, claiming to be 50x faster than Python solutions. Users can create complex strategies using an intuitive no-code builder, combining conditions with AND/OR logic. The platform supports backtesting across over 7000 assets, including stocks, forex, crypto, commodities, and ETFs, with historical data spanning decades. It provides advanced analytics, comprehensive performance metrics, risk analysis, and drawdown visualization. Users can also save strategies in a portfolio to monitor performance over time and fine-tune parameters for advanced optimization.

Axiomatic_AI is an advanced AI tool designed to accelerate mission-critical engineering workflows by providing rigorously verified AI operators. It specializes in domains such as photonics, electronics, thermal, mechanics, and signal analysis. The platform, featuring its flagship product Lemma, acts as a scientific and engineering co-explorer, enabling users to validate, derive, and analyze equations and reasoning across various scientific and engineering disciplines. Axiomatic_AI emphasizes mathematical rigor, with every result backed by formal proofs and verified computation against formal specifications, eliminating hallucinations. Its Ax-Prover demonstrates superior performance in mathematical reasoning benchmarks, outperforming leading AI systems. The tool outputs results into interactive Marimo notebooks, allowing for inspection and execution of code.

BrightLock is a smart brightness control application designed for Android devices, offering users comprehensive control over their screen illumination. It addresses common frustrations with unreliable auto-brightness settings by enabling users to lock brightness at a specific level or within a comfortable range. Key features include app-specific brightness profiles, allowing different brightness settings for each application, and smart schedules to automate brightness changes based on time and day. The app also offers brightness profiles for instant switching between favorite settings, a smart restore function to return to previous brightness states, and widgets for quick control. BrightLock prioritizes user privacy, operating offline for core functionality and collecting only minimal, non-identifiable usage data for improvements. It supports over 11 languages and includes a secure app lock for settings protection.

CyberLex - AI Compliance Layer offers innovative solutions for modern challenges in AI compliance. It provides practical, productized AI compliance frameworks designed to help founders, CTOs, and legal teams pass due diligence, speed up enterprise procurement, and stay aligned with EU and US regulations. The platform aims to achieve this without the overhead of traditional consulting or "compliance theatre." Users can access a 5-minute checklist to self-score their compliance exposure or order a Professional Compliance Review for a detailed assessment within 48 hours. CyberLex also offers a store with practical AI compliance templates, including ready-to-use policies, risk tools, and governance assets built for startups and tech teams.

DataSmith AI specializes in creating modern AI SaaS products designed to enhance productivity and accuracy in complex workflows. Their offerings include HAISCoPE.ai, a human-AI co-creation platform for software development teams, which provides full SDLC traceability and aims to accelerate delivery by 40-50% with improved quality. For bid and tender teams, TenderGenie.ai leverages AI to read, analyze, and extract critical information from documents in minutes, significantly reducing review time by 70% and increasing win rates by 40%. DataSmith AI focuses on delivering measurable results by building AI that integrates effectively into real-world business processes, as evidenced by testimonials from industry leaders like DelValFlow, NYATI Builders, and Tranter Heat Exchangers.

HOJI AI is an AI-powered platform dedicated to providing reviews of various AI software. Users can sign up for a free beta to explore the tool's capabilities. While the current website content is minimal, the meta description indicates its core function is to offer AI software reviews. The tool aims to help users discover and evaluate different AI solutions, likely streamlining the decision-making process for individuals and teams looking to integrate AI into their workflows. Further details on specific features, pricing, or supported platforms are not available from the provided live website content.

Pebbi is a shared baby care app designed to simplify coordination among separated parents, nannies, co-parents, and other caregivers. It provides a single, shared timeline for tracking feeds, sleep, nappies, medication, and growth, ensuring everyone stays informed. The app facilitates instant handovers by summarizing recent activities and changes, eliminating the need for fragmented messages. PebbiAI generates narrative handover summaries with key insights, making communication clear and efficient. It features offline-first reliability, secure syncing, and a privacy-first architecture with no account required to start tracking. The free tier supports two carers, while a Premium Household subscription expands to five carers and five babies, adding AI predictions and photo support.

NVIDIA® TensorRT™ is an SDK designed for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open-source components of TensorRT, including sources for TensorRT plugins and ONNX parser, along with sample applications demonstrating its usage and capabilities. It enables developers to optimize and deploy AI models efficiently, streamlining API usage for enhanced performance. The platform supports various CUDA versions and offers containerized build options for different Linux distributions and architectures, including cross-compilation for Jetson and DriveOS. TensorRT also provides a prebuilt Python package for easy installation via pip, allowing users to quickly integrate it into their Python-based AI projects.

TensorRTx is an open-source project designed to implement popular deep learning networks directly with the TensorRT network definition API. Unlike approaches that rely on parsers (like ONNX or UFF), TensorRTx emphasizes building networks from scratch, providing significant advantages. This method offers greater flexibility, allowing users to easily modify, add, delete, or replace layers, and even integrate preprocessing and postprocessing directly into the network. It also enhances debuggability, enabling incremental development and easy inspection of intermediate layer results. Furthermore, this approach is highly educational, fostering a deeper understanding of network structures rather than treating them as black boxes. The project supports various models including YOLO, ResNet, EfficientNet, and many others, with a clear workflow for converting trained models to TensorRT engines for efficient inference.

Vitesse Automation offers a universal physical AI platform designed to connect industrial machines and automate processes. It features purpose-built industrial controllers, 135 native OT connectors for various brands and protocols, and a Physical AI engine that generates control logic from natural language descriptions, deploying it instantly. This significantly accelerates process programming, up to 15 times faster than traditional PLC methods. The platform also provides live dashboards, camera feeds, and SCADA views accessible in a browser, along with robust cybersecurity measures like hard protocol rupture between OT and IT, zero-trust at the edge, and NIS2 & NIST compliance. Vitesse is built by a team with experience from Tesla, SpaceX, Siemens, and Safran, aiming to solve complex factory integration challenges.

Farm3D is a novel AI method for learning articulated 3D animal models by distilling 2D diffusion, presented at 3DV 2024. It leverages 2D diffusion-based image generators like Stable Diffusion to produce training data, enabling the creation of a monocular reconstruction network. This network can factorize an input image into articulated shape, appearance, viewpoint, and light direction. Farm3D allows for single-view 3D reconstruction of detailed animal categories, even without training on real images. Furthermore, it facilitates controllable 3D asset generation from real or synthesized images, offering features like animation, relighting, and texture swapping. The project also introduces Animodel, a new 3D Articulated Animals Dataset for evaluating reconstruction quality.

Neurobus is a deeptech startup specializing in energy-efficient edge AI systems designed for autonomous platforms. The technology leverages neuromorphic processors and event-based cameras to provide real-time onboard intelligence. This approach ensures low power consumption and sub-millisecond latency, making it particularly suitable for demanding applications in defense and space. The company aims to deliver advanced AI capabilities directly at the edge, reducing reliance on cloud processing and enhancing the autonomy and responsiveness of critical systems.

Plot.sh is a comprehensive NFT analytics platform designed to provide traders and collectors with detailed insights into their digital asset portfolios. It offers trade-level profit and loss tracking, allowing users to understand the financial performance of individual trades and overall collections. The tool supports multi-chain and multi-wallet analysis, consolidating data from Solana, Ethereum, Base, Arbitrum, and Abstract into a single view. Key features include exact matching of buys to sells, accounting for network fees, marketplace royalties, bids, and listing edits. Plot.sh also provides mark-to-market inventory valuation and identifies reclaimable Solana rent, ensuring accurate wallet balances and NFT valuations. It's built for those who need clear, consolidated stats and transparent math for their NFT trading activities.

Jafton is an AI-driven mobile app development company specializing in creating custom digital solutions for businesses. With over 12 years of experience and a team of 120+ app developers, Jafton provides award-winning services including mobile app development for iOS and Android, AI development for smart and adaptable solutions, and custom software development for various business needs like CRMs and transportation management systems. They also offer staff augmentation services. Jafton excels in industries such as telemedicine, fintech, dating apps, e-commerce, social media, and marketplaces, leveraging the latest technologies to deliver robust and scalable applications. Their process includes discovery, consultation, proposal preparation, and ongoing maintenance and support.

Lazy AI is a no-code platform designed to accelerate full-stack application development. It empowers users to create sophisticated applications by leveraging prompts and a library of pre-configured workflows, eliminating the need for extensive coding. The platform provides a visual interface, making the development process intuitive and accessible, even for those without deep programming knowledge. By offering pre-built components, Lazy AI streamlines the creation of various application functionalities, allowing developers to focus on logic and design rather than boilerplate code. This approach significantly reduces development time and effort, making it an efficient solution for bringing ideas to life quickly.

Ladder network is a deep learning algorithm that combines both supervised and unsupervised learning techniques. This repository provides the source code for experiments detailed in the paper "Semi-Supervised Learning with Ladder Networks." It requires specific libraries like Theano, Blocks Stable 0.2, and Fuel Stable 0.2 for installation and operation. The tool includes various models for MNIST and CIFAR datasets, allowing users to train full, bottom-only, gamma, and supervised baseline models with different configurations for labeled and unlabeled samples. It also supports evaluating trained models on test sets.