Best Machine Learning Software - Page 67

Roadrunner

Roadrunner is an AI-native configure-price-quote CPQ platform built for enterprises with modern pricing and complex deals. Your deals have evolved. Your systems haven’t. With Roadrunner, sales teams describe the deal they want to create. Our platform translates natural language into structured quotes, supporting complex pricing models and deal terms.

Robotec.ai

Robovision

Robovision is a compute-vision company and a pioneer in 3D deep learning. With over a decade of experience, Robovision has developed the Robovision Platform and Robovision Edge to solve the challenge of managing changes in dynamic environments. Companies can use its end-to-end solution to quickly develop, deploy and retrain AI without technical dependency. This enables them to move AI into production at scale. With a global partner network of system integrators, machine builders, device builders and service providers, Robovision can accelerate customer transformation and drive co-innovation in a variety of use cases. For instance, Robovision helps build the world’s first fully automated machine that recognises, picks and pots plant cuttings.

Average Rating: 4.0/5.0

Total Reviews: 1

Robro Systems (Kiara)

Rockestate

RocketML Dense RForest Classification

RocketML is a Super Fast Computational engine for Machine Learning. Built for scientists and engineers, RocketML scales Machine Learning models with no limits. If you have a large data science/analytics team, RocketML will cut your cycle time and costs of people and hardware.

Roe AI

RoEx Automix

Automix by RoEx Automix is an AI-powered multitrack mixing and mastering platform that takes individual audio stems and returns a fully processed, release-ready mix and master. Built on research from Queen Mary University of London's Centre for Digital Music, Automix applies EQ, compression, panning, reverb and level balancing to each stem individually, rather than processing a static stereo file, then masters the result to a target loudness and genre profile. Producers upload up to 32 stems, select a genre, and receive a mix within minutes, with unlimited free previews before paying for a download. Automix Pro adds unlimited downloads, audio cleanup, reference track matching for mastering, processed stem downloads, and direct export to Ableton Live, Bitwig Studio and Fender Studio, so the mix arrives as an editable project rather than a locked file. Automix is best suited to producers who already work inside a DAW and want a fast, genre-aware starting point rather than a full replacement for a mixing engineer. What users say: "My wife says you do in minutes what I used to take days to do." — 40-year mixing professional, RoEx website testimonial "The fact you can download mixed stems is a life saver." — Automix Pro subscriber "The mastering is perfect and makes my tracks the biggest they can be." — Automix Pro subscriber What is Automix? Automix is an AI mixing and mastering tool made by RoEx, a London-based audio technology company spun out of Queen Mary University of London's Centre for Digital Music. Unlike single-file AI masterers, Automix processes individual stems (up to 32 tracks), applying per-track EQ, compression, panning and reverb before mastering the finished mix to a chosen genre and loudness target. How does Automix compare to other AI mixing tools? Most AI mastering tools (LANDR, eMastered, BandLab) only process a finished stereo mix. Automix is one of a small number of platforms offering true multitrack AI mixing from individual stems, meaning it makes mixing decisions per instrument rather than applying a single mastering chain across an already-mixed track. Who is Automix for? Automix is designed for producers and artists who already work with stems in a DAW (such as Ableton Live, Bitwig Studio or Fender Studio) and want a fast, genre-aware first mix and master, with the option to export the full project back into their DAW for further editing. Key facts: Founded: 2022, spun out of Queen Mary University of London Track capacity: up to 32 stems (Pro), 16 stems (free/PAYG) DAW export: Ableton Live, Bitwig Studio, Fender Studio Free tier: unlimited previews, first download free

Rondah AI

Rotomate

Roundabout Technologies

Roundabout Technologies offers an AI-powered traffic management system designed to optimize urban traffic flow and enhance safety. By integrating advanced computer vision and artificial intelligence, the system dynamically adjusts traffic signals in real time, reducing congestion and improving the efficiency of intersections. This innovative approach not only minimizes wait times for vehicles but also prioritizes the safety of pedestrians and cyclists, creating a more responsive and adaptive urban traffic environment. Key Features and Functionality: - Real-Time Traffic Signal Optimization: Utilizes AI algorithms to analyze live traffic data, enabling immediate adjustments to signal timings for optimal flow. - Comprehensive Detection Capabilities: Employs computer vision to accurately detect and anticipate the movements of vehicles, cyclists, and pedestrians, ensuring inclusive traffic management. - Emergency and Public Transport Prioritization: Automatically prioritizes buses and emergency vehicles, facilitating faster response times and improved public transportation efficiency. - Seamless Integration: Designed to work with existing traffic infrastructure, eliminating the need for additional hardware and simplifying deployment. - Adaptive to Real-World Conditions: Continuously learns and adapts to changing traffic patterns, maintaining efficiency without the need for manual reprogramming or costly traffic studies. Primary Value and Solutions Provided: Roundabout Technologies addresses the challenges of urban traffic congestion and safety by offering a system that: - Reduces Traffic Congestion: By dynamically adjusting signal timings, the system decreases vehicle wait times and alleviates bottlenecks. - Enhances Road Safety: Proactively identifies and mitigates potential conflicts, particularly for vulnerable road users like pedestrians and cyclists. - Improves Public Satisfaction: Creates a more efficient and predictable traffic environment, leading to fewer resident complaints and a better overall commuting experience. - Cost-Effective Implementation: Leverages existing infrastructure and eliminates the need for extensive traffic studies, providing a scalable and economical solution for cities. By transforming traditional traffic management with AI-driven solutions, Roundabout Technologies empowers cities to create safer, more efficient, and adaptive urban transportation systems.

Rubric IQ

Run:AI

Make data science more productive with the compute power to run more experiments and deploy AI initiatives faster. Run:AI’s cloud-native compute orchestration platform gives data scientists access to all of the pooled compute power they need to accelerate AI development and deployment – whether on-premises or in the cloud. The platform provides IT and MLOps with visibility and control over scheduling and dynamic provisioning of GPUs to deliver more than 2X gains in utilization of existing infrastructure. Built on Kubernetes, Run:AI enables seamless integration with existing IT and data science workflows. Learn more at www.run.ai.

Average Rating: 4.8/5.0

Total Reviews: 2

Run BiOS

Run BiOS is serverless inference for teams running large language models in production. It exposes an OpenAI-compatible API, so you can point the OpenAI SDK at Run BiOS and keep your existing code, authenticating with a standard Authorization: Bearer header. Six model families run behind one API — Claude, DeepSeek, GLM, Kimi, MiniMax and Qwen — with context windows up to one million tokens. BiOS Adaptive routes each request for quality, speed and budget against a published price ceiling. Chat, completions, embeddings and rerank endpoints are supported. Prompts and responses are held in memory and discarded when the request completes: no request logs, no content store, no archive. Pricing is per million tokens from a pre-paid balance, starting at $0.10 per million input tokens, and an endpoint pauses rather than accruing debt if the balance runs out. Teams wanting their own weights can fine-tune with LoRA or QLoRA and deploy to dedicated GPU endpoints billed per second.

Safari AI

Safari AI is a Miami-based Vision AI platform founded in 2018 and venture-backed by General Catalyst and Initialized Capital. Formerly known as curbFlow, the company rebranded to reflect its expanded focus on physical operations intelligence across enterprise verticals. Today, Safari AI serves global enterprise clients across industries including theme parks and attractions, quick-service restaurants (QSR), live venues, retail, commercial real estate, logistics, and manufacturing. Safari AI is a computer vision and machine learning platform that connects to a customer's existing IP camera infrastructure to automatically measure, analyze and automate action in physical operations in real time. The platform's proprietary AI data engine ingests live video feeds and uses object detection and behavioral recognition models to generate operational metrics including pedestrian and vehicle counts, throughput rates, live wait times, staff engagement scores, asset utilization heatmaps, vehicle classification, and license plate recognition. These measurements are delivered through real-time dashboards, automated alerts, and Safari Scores, a proprietary benchmark that enables operators to track and act on operational performance without manual observation or added headcount. Safari AI solves the problem of unmeasured physical operations: the inability of enterprise operators to reliably quantify what is happening inside their facilities in real time. By digitizing physical activity through existing camera networks, Safari AI enables operators to improve speed of service, optimize staffing, reduce operational waste, and make data-driven decisions that increase revenue and reduce costs. Customers including Legoland (Merlin Entertainments), Brightline, the Charlotte Hornets, Calgary Flames, Anakeesta, and JBG Smith (Amazon HQ2 landlord) have used Safari AI to achieve 20%+ productivity gains and actionable operational insights across their physical locations, all without requiring new camera hardware or additional staff.