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DataRobot
3.7
based on 2 Reviews
About DataRobot
Founded in2012 (13 yrs old)
India Employee Count--
Global Employee Count--
HeadquartersBoston,Massachusetts, United States
Office Locations
--
Websitedatarobot.com
Primary Industry
Other Industries
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DataRobot Ratings
based on 2 reviews
Overall Rating
3.7/5
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4
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3
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Category Ratings
4.6
Salary
4.6
Work-life balance
3.8
Company culture
3.7
Work satisfaction
2.7
Skill development
2.4
Job security
1.3
Promotions
DataRobot is rated 3.7 out of 5 stars on AmbitionBox, based on 2 company reviews.This rating reflects an average employee experience, indicating moderate satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
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DataRobot Reviews
Compare DataRobot with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 3.7/5 based on 2 reviews | 4.0/5 based on 813 reviews | 2.6/5 based on 1k reviews | 3.7/5 based on 682 reviews |
Highly Rated for | Work-life balance Salary Company culture | Job security Company culture Skill development | No highly rated category | No highly rated category |
Critically Rated for | Promotions Job security Skill development | Promotions | Work-life balance Job security Company culture | Promotions |
Primary Work Policy | - | Hybrid 83% employees reported | Work from office 89% employees reported | Hybrid 82% employees reported |
Rating by Women Employees | - no rating available | 3.8 Good rated by 190 women | 2.4 Poor rated by 243 women | 3.5 Good rated by 113 women |
Rating by Men Employees | - no rating available | 4.0 Good rated by 572 men | 2.6 Poor rated by 672 men | 3.7 Good rated by 532 men |
Job security | 2.4 Poor | 4.1 Good | 2.1 Poor | 3.5 Good |
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DataRobot Salaries
DataRobot salaries have received with an average score of 4.6 out of 5 by 2 employees.
Data Scientist
(4 salaries)
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₹5.6 L/yr - ₹34.2 L/yr
Senior Data Engineer
(4 salaries)
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₹40 L/yr - ₹62 L/yr
Senior Business Analyst
(4 salaries)
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₹21 L/yr - ₹22.7 L/yr
Senior Technical Support Engineer
(3 salaries)
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₹22.5 L/yr - ₹28.8 L/yr
Platform Engineer
(3 salaries)
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₹14 L/yr - ₹25 L/yr
Sales Director
(2 salaries)
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₹71.3 L/yr - ₹78.8 L/yr
Global Account Manager
(2 salaries)
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₹93.6 L/yr - ₹1 Cr/yr
Artificial Intelligence Engineer
(2 salaries)
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₹26.4 L/yr - ₹33.7 L/yr
Senior Artificial Intelligence Engineer
(2 salaries)
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₹22.5 L/yr - ₹28.8 L/yr
Partner Account Manager
(1 salaries)
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₹30.6 L/yr - ₹39.1 L/yr
DataRobot Jobs
Popular Designations DataRobot Hires for
Popular Skills DataRobot Hires for
DataRobot News
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DataRobot Launches New AI Application Suites for SAP Business Users
- DataRobot has launched new AI application suites for finance and supply chain operations that integrate with SAP solutions.
- The integration provides SAP business users with the ability to implement AI quickly and securely use their business data.
- The DataRobot Finance AI App Suite for SAP enables finance teams to gain real-time insights for cash flow management, revenue forecasting, fraud detection, and more.
- The DataRobot Supply Chain and Operations AI App Suite helps businesses with demand planning, lead time estimation, workforce planning, inventory management, and more.
Pymnts | 21 Mar, 2025
DataRobot Launches New AI Application Suites for Finance and Supply Chain Operations for SAP
- DataRobot launched AI application suites for finance and supply chain operations for SAP, facilitating the integration of AI into customer environments and processes.
- The new AI suites allow AI teams to quickly implement AI, use business data securely, and hasten the delivery of AI solutions as needed by business users.
- Through an extended partnership, DataRobot aims to provide AI-powered insight apps to SAP customers, enabling them to adopt AI, improve decision-making, optimize operations, and drive business transformation.
- The AI application suites by DataRobot are customizable, pre-built, and pre-configured for SAP solutions, leveraging rich business data from various SAP solutions like SAP S/4HANA and SAP Integrated Business Planning.
- The collaboration between DataRobot and SAP focuses on addressing key challenges facing AI teams by streamlining the integration of AI solutions into business processes.
- The DataRobot Finance AI App Suite for SAP helps finance teams utilize AI logic from SAP S/4HANA and SAP Analytics Cloud to enhance financial insights and forecasting, including cash flow management and revenue forecasting.
- The Supply Chain and Operations AI App Suite for SAP by DataRobot leverages AI for demand planning, lead time estimation, workforce planning, and inventory management to optimize logistics and production alignment with demand.
- DataRobot applications will be among the first offered on SAP Business Data Cloud, providing AI-driven insights and analytics to enhance decision-making for SAP customers across industries.
- Overall, the partnership between DataRobot and SAP aims to accelerate AI adoption and deliver enterprise-grade AI solutions to drive real business impact and transformation.
- DataRobot's AI platform aims to minimize business risks by delivering impactful AI solutions that can be integrated into core business processes for scalable and effective AI implementation.
Global Fintech Series | 20 Mar, 2025
DataRobot with NVIDIA: The fastest path to production-ready AI apps and agents
- Organizations face challenges in moving AI projects from development to production, particularly in deploying agentic AI apps.
- DataRobot, along with NVIDIA AI Enterprise, offers a fast solution for developing and delivering agentic AI, reducing risks and complexity.
- The integration allows for custom-tailored AI solutions optimized for business problems.
- A use case example involves real-time warehouse optimization using AI-powered video analysis and predictive forecasting.
- DataRobot and NVIDIA streamline the development of agentic AI apps, solving complexities and roadblocks in deployment.
- NVIDIA AI Blueprints and DataRobot AI Apps provide structured frameworks to jumpstart AI application development.
- RAPIDS and DataRobot's predictive AI capabilities accelerate the process of building and testing models.
- NVIDIA NIM and DataRobot tools optimize RAG workflows for efficient AI development.
- Continuous monitoring, observability, and deployment optimization are crucial for maintaining and scaling agentic AI applications.
- DataRobot with NVIDIA provides hyperscaler-grade ease of use across various deployment options, transforming AI development and deployment.
Datarobot | 19 Mar, 2025
The Best Artificial Intelligence Software for 2025: Boost Your Productivity Today
- CodeSpark Labs is a tech innovation partner offering bespoke software solutions.
- The use of AI software tools in 2025 is enhancing productivity and task management.
- Some of the best AI software tools for 2025 include Claude 3.7, Gemini, Grok-3, Canva Magic Studio, Synthesia, and DataRobot.
- Integrating AI into business operations is crucial for enhancing productivity and staying competitive.
Medium | 4 Mar, 2025
How to use DeepSeek-R1 for enterprise-ready AI
- DeepSeek-R1 is the first open-source reasoning model making waves in the AI space, offering structured, logic-driven outputs and efficiency in text generation.
- Partnering with DataRobot can facilitate the development and deployment of DeepSeek-R1 for enterprise solutions, streamlining complexities.
- DeepSeek-R1's unique reasoning capabilities allow for presenting diverse options in agent-based systems, enhancing user experiences and responsiveness.
- When evaluated against GPT-4o mini, DeepSeek-R1 showed higher accuracy but also higher cost and slower response times, which may impact its efficiency.
- Integration with DataRobot allows for hosting DeepSeek-R1 using NVIDIA GPUs or serverless predictions, enabling seamless workflow integration.
- A comparison of DeepSeek-R1 and GPT-4o mini in real-world AI workflows highlighted differences in response time, accuracy, and cost implications.
- DeepSeek-R1's value lies in its reasoning through complex scenarios, offering proactive insights and multiple outcome possibilities for agent-driven systems.
- In testing using the Google BoolQ dataset, DeepSeek-R1's performance in reasoning evaluation differed from simpler response models like GPT-4o mini.
- Hosting DeepSeek-R1 on DataRobot can be a straightforward process, enabling access to various variants and models for enhanced AI applications.
- The article emphasizes the importance of evaluating AI models in end-to-end workflows to assess their real-world applicability beyond raw performance metrics.
- By understanding DeepSeek-R1's potential and capabilities, enterprises can leverage advanced AI tools to deliver meaningful outcomes and embrace enterprise-ready AI solutions.
Datarobot | 19 Feb, 2025
Feb 14, 2025: Development tools that have recently added new AI capabilities
- Google introduced Gen AI Toolbox for Databases, allowing generative AI applications to connect to various databases.
- JetBrains AI Assistant now supports local LLMs and models from Anthropic and OpenAI.
- Gemini Advanced enables referencing past chats, enhancing responses and conversation continuity.
- Gemini API offers access to Imagen 3, an image generation model with improved performance.
- Adobe unveiled Firefly Video Model for generating videos using image or text prompts, ensuring copyright compliance.
- Workday introduced Agent System of Record to centrally manage AI agents, ensuring trust and compliance.
- Snowflake launched Cortex Agents to work on structured and unstructured data, aiding in complex queries and data retrieval.
- Mabl's GenAI Test Creation uses generative AI to automatically create and maintain tests efficiently.
- Ai2 released an iOS app for its OLMoE model, allowing developers to experiment with on-device AI for various tasks.
- DataRobot acquired Agnostiq, leveraging its infrastructure management platform Covalent for agentic AI development.
Sdtimes | 18 Feb, 2025
Feb 14, 2025: Development tools that have recently added new AI capabilities
- Google introduces Gen AI Toolbox for Databases, allowing connectivity to various databases like PostgreSQL and MySQL.
- JetBrains AI Assistant now leverages local models for privacy compliance, offering access to models from Anthropic and OpenAI.
- Gemini Advanced users can refer to past chats to enhance responses, with an option to control stored information.
- Gemini API integrates Imagen 3, a state-of-the-art image generation model, with a non-visible digital watermark feature.
- Adobe launches Firefly Video Model enabling video generation using image or text prompts, trained on licensed content.
- Workday unveils Agent System of Record for centralized AI agent management, ensuring transparency and compliance.
- Snowflake releases Cortex Agents for structured and unstructured data sources, enhancing data retrieval and analysis.
- Mabl introduces GenAI Test Creation using generative AI to create and maintain tests efficiently.
- Ai2 unveils an iOS app for OLMoE model, allowing developers to experiment with on-device AI tasks.
- DataRobot acquires Agnostiq, enhancing agentic AI development with heterogeneous compute orchestration and reduced infrastructure complexity.
Sdtimes | 14 Feb, 2025
SAP and Databricks Open a Bold New Era of Data and AI
- SAP and Databricks have introduced SAP Business Data Cloud, a SaaS solution to manage enterprise data, connect with third-party data, and provide transformational insights.
- The partnership between SAP and Databricks signifies a new era in enterprise data management, aiming to redefine how data platforms work.
- SAP Business Data Cloud addresses challenges related to poor data quality and data harmonization, providing a trusted and harmonized data foundation.
- It offers fully managed SAP data products across various business processes, simplifying lifecycle management and enabling zero-copy sharing.
- The solution includes pre-built analytical applications to accelerate decision-making in areas like ERP, finance, supply chain, and customer experience.
- SAP Business Data Cloud leverages Databricks for data connectivity, business semantics, data engineering, and machine learning/AI capabilities.
- It facilitates analytics and planning integration, enabling users to move from insights to actions seamlessly.
- The ecosystem of SAP Business Data Cloud supports an open data ecosystem, integrating with partners like Collibra, Confluent, DataRobot, and more.
- The solution fosters reliable AI by ensuring AI is built on accurate, trusted data with business context, enhancing productivity and automation.
- Partnerships with companies like Accenture, DataRobot, McKinsey, PwC, EY, Deloitte, and Capgemini offer additional insights apps on SAP Business Data Cloud.
Sap | 13 Feb, 2025
DataRobot buys Aqnostiq to advance AI agent development with dynamic compute orchestration
- DataRobot acquires Agnostiq to enhance AI agent development and dynamic compute orchestration capabilities.
- The acquisition will allow DataRobot to scale the development of AI agents and improve compute orchestration and optimization functionalities.
- DataRobot's AI development platform caters to both experts and business users, offering simple point-and-click AI model creation and customization options for advanced users.
- By integrating Covalent, Agnostiq's AI infrastructure management platform, DataRobot aims to enable agentic AI deployment and management across various compute environments.
Siliconangle | 10 Feb, 2025
Agentic AI: Real-world business impact, enterprise-ready solutions
- DataRobot recently acquired Agnostiq and their open-source distributed computing platform, Covalent to help accelerate and simplify agentic AI development and deployment.
- Agentic AI application development and deployment requires complex workflows, infrastructure and full AI lifecycle management.
- The combination of DataRobot’s toolset and the Covalent AI platform makes agentic AI development and deployment more simplified and streamlines model experimentation and deployment.
- The Covalent platform gives AI developers the ability to define their package dependencies, leaving Covalent to handle the rest in terms of infrastructure.
- Covalent automates compute provisioning and alleviates the burden of manual infrastructure management, enabling scalability and efficient multi-agent applications.
- Computational requirements can be satisfied through an orchestration engine, abstracting clusters for orchestration and supporting on-prem HPC schedulers, Azure Batch, Google Cloud platform, and more.
- With Covalent infrastructure capability, agentic AI applications can scale effortlessly from experimentation to production.
- Key features include heterogeneous compute execution, optimized compute flexibility, and unified observability and compliance, all under an easy-to-use Python interface.
- Agentic AI simplification and massive infrastructure overhead reduction implemented through automation have opened new channels in orchestration, governance, and scalability for AI teams to build and deploy AI applications more efficiently.
- Covalent’s customisable, automated features reduces deployment times significantly, affording agile decision-making to financial analysts and others, making it an attractive solution to the complex applications it wishes to simplify.
Datarobot | 10 Feb, 2025
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DataRobot FAQs
When was DataRobot founded?
DataRobot was founded in 2012. The company has been operating for 13 years primarily in the Internet sector.
Where is the DataRobot headquarters located?
DataRobot is headquartered in Boston,Massachusetts.
What are the pros and cons of working in DataRobot?
Working at DataRobot comes with several advantages and disadvantages. It is highly rated for salary & benefits, work life balance and company culture. However, it is poorly rated for promotions / appraisal, job security and skill development, based on 2 employee reviews on AmbitionBox.
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