Deccan AI
"Expert Human Data"
Enterprise data company providing expert-curated SFT, RLHF datasets, RL environments and evaluations for training LLMs and AI agents.
Deccan AI (Deccan.ai, Inc.), founded in 2023 by Rukesh Reddy, is an enterprise data services company that supplies expert-built, human-curated training data for large language models and AI agents.
Its offerings span supervised fine-tuning (SFT) and RLHF datasets, reinforcement-learning environments (RL Gym), model evaluations, multimodal data, Text-to-SQL and Text-to-Python data, data tuning for RAG, and agentic workflow solutions. The company targets the higher-skill end of the data market, including coding, mathematics, science, agentic tasks and robotics, where domain experts and PhDs review the work. Delivery runs on its proprietary Databench annotation platform, which embeds quality controls such as linters, code compilers, LaTeX editors and LLM-based validators, paired with a rigorous QA playbook using gold labels, overlaps and random sampling. Deccan AI relies on a contributor network of more than one million people, with thousands active in a typical month, supported by an in-house team of quality associates, learning-and-development specialists and project managers. The company is headquartered in Mountain View, California, with operations teams in Hyderabad and Bangalore, India, and employs roughly 125 people.
In a Series A round led by A91 Partners with participation from Susquehanna International Group and Prosus Ventures, it raised $25M. Named customers include Google and Snowflake. The company holds SOC 2, ISO 27001, GDPR and HIPAA compliance, and positions its data services to support AI development across STEM, enterprise operations and physical-AI domains such as robotics.
Primary type & automation activities this supplier delivers:
Contact Deccan AI
WEBSITE
https://www.deccan.aiHEADQUARTERS
United States
Company Facts
Founded
2023
Primary Role
Software/Algorithm
Company Size
-
Primary Region
North America
Annual Sales
-
Funding Stage
Early-Stage VC
Funding Total
-
Certifications & Memberships
CASIA's Peiyan Li Brings Two VLA Papers to IROS 2026
CASIA Ph.D. candidate Peiyan Li co-authored two IROS 2026 papers on VLA models for long robot tasks. We also cover his BridgeVLA and SpatialVAM work.
Google Launches Agentic AI with Gemini for Business Applications
Google announced the introduction of its Gemini AI into the agentic era during a Cloud event, launching a unified agent capable of performing tasks on behalf of users. This development signifies a shift from conversational AI to agents that can manage tasks such as scheduling and code generation. The importance of this launch lies in Gemini's existing user base, which exceeds 1 billion monthly active users, and its adoption by nearly 90% of Fortune 100 companies. By initially focusing on business applications, Google aims to address challenges related to security and performance before expanding to consumer use. Looking ahead, Google plans to enhance the agent's capabilities by allowing it to connect with various business systems and utilize third-party models. Users will be able to track the agent's activities through a dedicated interface, ensuring transparency and accountability in task management. No further timeline was disclosed at the time of publication.
AI Enterprise TC gemini Google
Nous Research Secures $90M Series B Funding at $1.5B Valuation for Hermes AI Expansion
Nous Research has successfully raised $90 million in Series B funding, achieving a valuation of $1.5 billion. This funding round, led by Robot Ventures, also included participation from notable investors such as Nvidia and Samsung. The total funding for the three-year-old company now stands at $158 million, bolstered by the popularity of its open-source Hermes Agent, which has been cloned over 24 million times. The significance of this funding lies in Nous Research's strategy to expand its offerings into the enterprise market with Hermes for Businesses. This initiative aims to provide companies with customized AI agents that can manage complex workflows while ensuring data privacy and security. The company has reported a strong commercial momentum, with annualized revenue reaching approximately $36 million by mid-September 2026 and expectations to exceed $100 million by year-end. Looking ahead, the focus will be on how Nous Research leverages this new capital to enhance its enterprise solutions and further penetrate the market. No further timeline was disclosed at the time of publication.
AI Funding & Investment Business & Markets AI AI-driven platform capital markets funding
Stuut Raises $52.5 Million Series B to Enhance AI Agents for Order-to-Cash Processes
Stuut, an AI platform based in New York, has successfully raised $52.5 million in a Series B funding round led by Insight Partners. This investment, which also saw participation from Andreessen Horowitz, M12, Microsoft’s Venture Fund, and Activant, brings Stuut's total funding to $93 million, following a previous Series A round ten months prior. The significance of this funding lies in Stuut's innovative approach to automating the order-to-cash process for large enterprises. With 81.7% of outbound collections now automated and 95% of incoming payments matched without human intervention, Stuut's platform is designed to enhance customer experience and financial performance. Major clients include Honeywell, ZoomInfo, and Verifone, with the platform having processed over $3 billion in transactions. Looking ahead, Stuut plans to utilize the new funding to expand its services into credit, lending, and funds movement, as it continues to grow at a remarkable rate of over 90% quarter over quarter. No further timeline was disclosed at the time of publication.
AI Funding & Investment Business & Markets AI AI-driven platform capital markets funding
Ambrosia Energy and Bloom Energy Discuss AI Infrastructure Opportunities at TechCrunch Disrupt 2026
At TechCrunch Disrupt 2026, Ben Longmier, CEO of Ambrosia Energy, and Bill Thayer, SVP at Bloom Energy, will discuss the growing need for AI infrastructure. As AI applications expand, the demand for physical infrastructure such as power generation and data centers is increasing, presenting new business opportunities. This session will explore the challenges of scaling AI, particularly when demand for computing resources outpaces the availability of power and infrastructure. Longmier and Thayer will analyze which constraints may lead to durable business categories and how founders can navigate this evolving landscape. Attendees can expect insights into the emerging markets driven by AI's physical demands, including energy and cooling solutions. The conversation aims to help founders, investors, and tech leaders identify where to focus their efforts as AI infrastructure continues to develop. No further timeline was disclosed at the time of publication.
Startups AI Bloom Energy TechCrunch Disrupt Ambrosia Energy
AWS Unveils Open-Source Physical AI Toolchain for Robotics Development
Amazon Web Services (AWS) has launched an open-source Physical AI Toolchain aimed at assisting roboticists in transitioning from data collection to the deployment of AI models on robots. This toolchain integrates AWS services with NVIDIA’s Physical AI software, addressing the challenge of connecting various components necessary for effective AI-powered robotics. The significance of this launch lies in its potential to streamline the development process for AI models, allowing companies to focus on solving specific problems rather than managing infrastructure. AWS's Sri Elaprolu emphasized the importance of generating synthetic data and utilizing simulation to enhance model training and deployment, particularly in environments with variable conditions. Looking ahead, the toolchain is designed to support continuous improvement through a feedback loop, where data from deployed robots is used to refine models. While no further timeline was disclosed at the time of publication, AWS's toolchain draws on insights from Amazon's extensive robotics operations, which include over 1 million robots, and aims to adapt to diverse operational environments such as convenience stores.
Artificial Intelligence Artificial Intelligence / Cognition Design / Development News Amazon amazon robotics
AWS Introduces Open-Source Physical AI Toolchain to Enhance Robotics Development
Amazon Web Services (AWS) has launched an open-source Physical AI Toolchain aimed at assisting robotics developers in training, simulating, deploying, and enhancing physical AI systems using AWS cloud services and Nvidia’s software stack. This toolchain encompasses synthetic data generation, model training, simulation, edge deployment, and continuous improvement, enabling users to manage fleets of machines effectively. The significance of this launch lies in its potential to streamline the engineering efforts of manufacturers and robotics developers, allowing them to focus more on innovation rather than infrastructure. With one in seven startups engaged in physical AI and 72% of them deeming cloud computing essential, the toolchain is positioned to support a wide range of applications, from industrial automation to humanoid robotics. Looking ahead, AWS's Physical AI Toolchain is expected to play a crucial role in the evolution of physical AI across various industries. As companies increasingly adopt this technology, the toolchain's capabilities for fleet management and operational data integration will be vital for improving performance and scalability in real-world applications. No further timeline was disclosed at the time of publication.
AI Physical AI Technology & Infrastructure AI infrastructure platform Amazon Amazon Web Services
AWS Startups Report Reveals Rapid Growth of Physical AI Amid Market Readiness Challenges
A report from AWS Startups in collaboration with Strand Partners indicates that 15% of startups across 20 markets are developing physical AI technologies. However, only 26% of these startups believe their local markets are ready for deployment, with 70% citing slow adoption as a significant barrier to growth. The report highlights the critical role of cloud infrastructure, with 72% of builders deeming it essential for development. Additionally, 62% of respondents indicated they could not have initiated their projects without cloud computing, while 56% noted that limited computing power hampers progress. Manufacturing and automotive sectors lead in commercial deployment at 51%, followed closely by logistics and retail at 47%. Looking ahead, 76% of builders anticipate that physical AI will become mainstream in their industries within five years, with 36% expecting this transition within two years. However, the report emphasizes that increased customer awareness, technical skills, funding, and clearer regulations are necessary for broader adoption.
Business & Markets Startups Technology & Infrastructure AI Amazon Asia
LG Electronics Showcases Robotics at 2026 First Global Challenge in Incheon
LG Electronics is actively participating in the 2026 First Global Challenge, an international youth robotics competition taking place at Songdo Convensia in Incheon. The event, which runs from Wednesday to Saturday, gathers youth teams from 185 countries to design and build robots aimed at addressing global challenges, particularly focusing on wildfire prevention and recovery due to climate change. This year's competition, themed “Igniting Innovation,” emphasizes the importance of robotics in tackling pressing issues like wildfires. LG's involvement includes sponsoring the event and showcasing its latest robotics technologies at an exhibition booth. The company also features its humanoid robot, LG CLOiD, allowing visitors to engage with the technology and learn about the innovative solutions being developed by young participants. As LG increases its investment in robotics as a key growth area, it aims to integrate physical AI into its strategy. The company recently launched LG Data Factory to enhance data management for robotics training. No further timeline was disclosed at the time of publication.
All News
Zhiyuan's Data Business Struggles to Support Robotics at $20 Per Hour
Zhiyuan's data business is facing challenges as it operates at a rate of $20 per hour, which is insufficient to sustain the robotics industry. The company is exploring new avenues to enhance its offerings and address the growing demand for data in robotics. This situation highlights the broader issue within the robotics sector, where the cost of data collection and processing is becoming a critical factor. As companies seek to innovate and improve their robotic systems, the financial viability of data services like those offered by Zhiyuan is under scrutiny. Looking ahead, industry stakeholders should monitor how Zhiyuan adapts its business model to better serve the robotics market. No further timeline was disclosed at the time of publication.
Robotics Automation AI
Fudan Team Develops Robot Mat Capable of Harvesting Ground Electricity, Eliminating Battery Needs
A team from Fudan University has developed an innovative robot mat that can harness electricity from the ground, thus removing the necessity for batteries. This advancement could significantly impact the design and functionality of mobile robots, making them more efficient and environmentally friendly. The ability to extract energy directly from the ground is a game-changer in robotics, as it addresses one of the major limitations of mobile robots: battery dependency. This technology could lead to longer operational times and reduced maintenance costs, enhancing the overall performance of robotic systems in various applications. Future developments in this area will be crucial to watch, particularly how this technology can be integrated into existing robotic platforms. No further timeline was disclosed at the time of publication.
Robotics Automation AI
IROS 2026 Best Paper Finalists: South Korea Leads
Ten papers made the IROS 2026 Best Paper and Best Student Paper shortlist, four from South Korea. What each one does and what it means for industry.
IROS 2026 Closing Briefing — Pittsburgh, Sep 27–Oct 1
IROS 2026 closes in Pittsburgh with 1,900+ papers and 186 exhibitor listings. Humanoids, dexterous hands, tactile sensing and robot data led the show.
SimScale Engineering AI Moves Physics Simulation to the Exact Moment a Design Decision Gets Made, Inside Onshape
SimScale’s Engineering AI Agent runs CFD, thermal, EMag and FEA from one prompt inside PTC’s Onshape, starting from CAD that isn’t simulation-ready.
IMTS 2026 Preview: Record Orders and the Automation Story
IMTS 2026 opens in Chicago with 1,788 exhibitors and record H1 machine tool orders. What the USMTO data says about automation, and the booths to see.
Software, Compute and Interaction at WRC 2026
47 WRC 2026 exhibitors supply robot software, compute or interaction — but only 19 call themselves software companies. Five open artefacts, licence-checked.
WRC 2026 Exhibitor Map: 248 Robotics Companies Mapped
We classified 248 WRC 2026 exhibitors with the RobotToday taxonomy. Motion & Actuation leads at 75 companies, Humanoid at 72, and compute stays thin at 12. (Modified 2026-08-27)
Inside Saga Robotics: UVC Light vs. Crop Disease
Saga Robotics CPO Damian Flynn on the Thorvald platform's UVC treatment system, its jump from UK strawberries to California wine grapes, and why he's “incredibly bullish” on applying automation and robotics into industries “most chaotic environment.”
WAIC Review 4/4: From Port AGVs to Hospital Night Shifts: What WAIC 2026 Reveals About Real Robot Deployments
From 530+ AGVs at a Singapore port to robots on Apple's line, WAIC 2026 speakers shared concrete data on where embodied AI robots are actually working today.
WAIC Review 2/4: World Models vs. VLA: Robotics' Next 'ChatGPT Moment'
At WAIC 2026, world-model and VLA camps staked rival paths to generalist robots; Zhiyuan, SenseTime and NVIDIA predict a robot 'ChatGPT moment' in 2-5 years.
