Moative
https://www.moative.com/About
Are you ready to be at the forefront of the AI revolution? Moative is your gateway to reshaping industries through cutting-edge Applied AI Services and innovative Venture Labs.
Moative is an AI company that focuses on automating tasks, compressing workflows, predicting demand, pricing intelligently, and delighting customers. They design AI roadmaps, build co-pilots, and create predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries.
🚀 What We Do
At Moative, we're not just using AI – we're redefining its potential. Our mission is to empower businesses in energy, utilities, packaging, commerce, and other primary industries with AI solutions that drive unprecedented productivity and growth.
🔬 Our Expertise:
- Design tailored AI roadmaps
- Build intelligent co-pilots for specialists
- Develop predictive AI solutions
- Launch AI micro-products through Moative Labs
💡 Why Moative?
- Innovation at Core: We're constantly pushing the boundaries of AI technology.
- Industry Impact: Our solutions directly influence the cost of goods sold, helping clients surpass industry profit margins.
- Customized Approach: We fine-tune fundamental AI models to create unique, intelligent systems for each client.
- Continuous Learning: Our systems evolve and improve, ensuring long-term value.
🧑🦰Founding Team
Shrikanth and Ashwin, IIT-Madras alumni have been riding technology waves since the dotcom era. Our latest venture, PipeCandy (Data & Predictions on 12 million eCommerce sellers) was acquired in 2021. We have built analytical models for industrial giants, advised enterprise AI platforms on competitive positioning, and built 70 member AI team for our portfolio companies since 2023.
Candid answers by the company
Moative is an AI company that focuses on automating tasks, compressing workflows, predicting demand, pricing intelligently, and delighting customers. They design AI roadmaps, build co-pilots, and create predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries.
Company social profiles
Jobs at Moative
Python
Scala
Machine Learning (ML)About Moative
Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.
Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.
Work you’ll do
As an AI Engineer at Moative, you will be at the forefront of applying cutting-edge AI to solve real-world problems. You will be instrumental in designing and developing intelligent software solutions, leveraging the power of foundation models to automate and optimize critical workflows. Collaborating closely with domain experts, data scientists, and ML engineers, you will integrate advanced ML and AI technologies into both existing and new systems. This role offers a unique opportunity to explore innovative ideas, experiment with the latest foundation models, and build impactful products that directly enhance the lives of citizens by transforming how government services are delivered. You'll be working on challenging and impactful projects that move the needle on traditionally difficult-to-automate processes.
Responsibilities
- Utilize and adapt foundation models, particularly in vision and data extraction, as the core building blocks for developing impactful products aimed at improving government service delivery. This includes prompt engineering, fine-tuning, and evaluating model performance
- Architect, build, and deploy intelligent AI agent-driven workflows that automate and optimize key processes within government service delivery. This encompasses the full lifecycle from conceptualization and design to implementation and monitoring
- Contribute directly to enhancing our model evaluation and monitoring methodologies to ensure robust and reliable system performance. Proactively identify areas for improvement and implement solutions to optimize model accuracy and efficiency
- Continuously learn and adapt to the rapidly evolving landscape of AI and foundation models, exploring new techniques and technologies to enhance our capabilities and solutions
Who you are
You are a passionate and results-oriented engineer who is driven by the potential of AI/ML to revolutionize processes, enhance products, and ultimately improve user experiences. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration.
You are adept at working with real-world, often imperfect data, and have a proven ability to develop, refine, and deploy AI/ML models into production in a cost-effective and scalable manner. You are excited by the prospect of directly impacting government services and making a positive difference in the lives of citizens
Skills & Requirements
- 3+ years of experience in programming languages such as Python or Scala
- Proficient knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization, DevOps (Docker, Kubernetes)
- Tuning and deploying foundation models, particularly for vision tasks and data extraction
- Excellent analytical and problem-solving skills with the ability to break down complex challenges into actionable steps
- Strong written and verbal communication skills, with the ability to effectively articulate technical concepts to both technical and non-technical audiences
Working at Moative
Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.
Here are some of our guiding principles:
- Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
- Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
- Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
- Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
- High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.
If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.
That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers.
The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.
PythonScalaAbout Moative
Moative, an Applied AI company, designs and builds transformation AI solutions for traditional industries in energy, utilities, healthcare & lifesciences, and more. Through Moative Labs, we build AI micro-products and launch AI startups with partners in vertical markets that align with our theses.
Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.
Our Team: Our team of 20+ employees consist of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH, Ph.Ds. Our team includes academicians, IBM Research Fellows, and former founders.
Work you’ll do
As a Data Engineer, you will work on data architecture, large-scale processing systems, and data flow management. You will build and maintain optimal data architecture and data pipelines, assemble large, complex data sets, and ensure that data is readily available to data scientists, analysts, and other users. In close collaboration with ML engineers, data scientists, and domain experts, you’ll deliver robust, production-grade solutions that directly impact business outcomes. Ultimately, you will be responsible for developing and implementing systems that optimize the organization’s data use and data quality.
Responsibilities
- Create and maintain optimal data architecture and data pipelines on cloud infrastructure (such as AWS/ Azure/ GCP)
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements
- Build the pipeline infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Support development of analytics that utilize the data pipeline to provide actionable insights into key business metrics
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
Who you are
You are a passionate and results-oriented engineer who understands the importance of data architecture and data quality to impact solution development, enhance products, and ultimately improve business applications. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration.
You have experience in developing and deploying data pipelines to support real-world applications. You have a good understanding of data structures and are excellent at writing clean, efficient code to extract, create and manage large data sets for analytical uses. You have the ability to conduct regular testing and debugging to ensure optimal data pipeline performance. You are excited at the possibility of contributing to intelligent applications that can directly impact business services and make a positive difference to users.
Skills & Requirements
- 3+ years of hands-on experience as a data engineer, data architect or similar role, with a good understanding of data structures and data engineering.
- Solid knowledge of cloud infra and data-related services on AWS (EC2, EMR, RDS, Redshift) and/ or Azure.
- Advanced knowledge of SQL, including writing complex queries, stored procedures, views, etc.
- Strong experience with data pipeline and workflow management tools (such as Luigi, Airflow).
- Experience with common relational SQL, NoSQL and Graph databases.
- Strong experience with scripting languages: Python, PySpark, Scala, etc.
- Practical experience with basic DevOps concepts: CI/CD, containerization (Docker, Kubernetes), etc
- Experience with big data tools (Spark, Kafka, etc) and stream processing.
- Excellent communication skills to collaborate with colleagues from both technical and business backgrounds, discuss and convey ideas and findings effectively.
- Ability to analyze complex problems, think critically for troubleshooting and develop robust data solutions.
- Ability to identify and tackle issues efficiently and proactively, conduct thorough research and collaborate to find long-term, scalable solutions.
Working at Moative
Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less. Here are some of our guiding principles:
- Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
- Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
- Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
- Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
- High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.
If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.
That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers.
The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.
PythonAbout Moative
Moative, an Applied AI company, designs and builds transformation AI solutions for traditional industries in energy, utilities, healthcare & lifesciences, and more. Through Moative Labs, we build AI micro-products and launch AI startups with partners in vertical markets that align with our theses.
Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.
Our Team: Our team of 20+ employees consist of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH, Ph.Ds. Our team includes academicians, IBM Research Fellows, and former founders.
Work you’ll do
As a Data Scientist at Moative, you’ll play a crucial role in extracting valuable insights from data to drive informed decision-making. You’ll work closely with cross-functional teams to build predictive models and develop solutions to complex business problems. You will also be involved in conducting experiments, building POCs and prototypes.
Responsibilities
- Support end-to-end development and deployment of ML/ AI models - from data preparation, data analysis and feature engineering to model development, validation and deployment
- Gather, prepare and analyze data, write code to develop and validate models, and continuously monitor and update them as needed.
- Collaborate with domain experts, engineers, and stakeholders in translating business problems into data-driven solutions
- Document methodologies and results, present findings and communicate insights to non-technical audiences
Skills & Requirements
- Proficiency in Python and familiarity with basic Python libraries for data analysis and ML algorithms (such as NumPy, Pandas, ScikitLearn, NLTK).
- Strong understanding and experience with data analysis, statistical and mathematical concepts and ML algorithms
- Working knowledge of cloud platforms (e.g., AWS, Azure, GCP).
- Broad understanding of data structures and data engineering.
- Strong communication skills
- Strong collaboration skills, continuous learning attitude and a problem solving mind-set
Working at Moative
Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less. Here are some of our guiding principles:
- Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
- Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
- Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
- Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that loud.
- High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.
If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.
That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers.
The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to be present in the city. We intend to move to a hybrid model in a few months time.
Similar companies
About the company
Shopalyst offers a Discovery Commerce platform for digital marketers. Combining data, AI and deep integrations with digital media and e-commerce platforms, Shopalyst connects people with products they love. More than 500 marquee brands leverage our SaaS platform for data driven marketing and sales in 30 countries across Asia, Europe and Americas.
For us, work is more than accomplishing milestones. We believe in building lasting relationships with employees that lay the foundation for our success stories. Our aim is to build a global workplace where everyone feels inspired to find their true potential and passion. Sounds interesting? Go ahead and check our openings. If you think you have the desired skills and experience to leave a mark, let us talk.
Jobs
1
About the company
Data Axle is a product company that offers various data and technology solutions, including software-as-a-service (SaaS) and data-as-a-service (DaaS). These solutions help businesses manage and leverage data for marketing, sales, and business intelligence.
They are data-driven marketing solutions provider that helps clients with clean data, lead generation, strategy development, campaign design, and day-to-day execution needs. It solves the problem of inaccurate and incomplete data, enabling businesses to make informed decisions and drive growth. Data Axle operates in various industries, including healthcare, finance, retail, and technology.
About Data Axle:
Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now has an established strategic global center of excellence in Pune. This center delivers mission
critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business and consumer databases.
Data Axle India is recognized as a Great Place to Work!
This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive.
Jobs
3
About the company
We are a trusted name in the field of technology outsourcing services. we respond to changing market demands through disruptive innovation and high-end technical advancements.
We are on a mission to solve intricate software engineering challenges. Established in 2018, we have successfully assisted a diverse range of organizations, including startups that have gone public, Enterprise companies, and forward-thinking enterprises worldwide.
Codewinglet is your premier destination for cutting-edge software solutions. Specializing in strategic planning, designing, and developing world-class software across diverse industries, we're the trusted choice of leading engineers and companies globally. Our innovative approach leverages state-of-the-art technologies to engineer solutions that drive tangible business outcomes. Let's collaborate and unlock the full potential of your business with Codewinglet's expertise
- 40+ in-house IT experts trained in emerging technology
- 150+ Satisfied Clients across the globe
- 7+ years in the IT business
Jobs
3
About the company
Jobs
4
About the company
Jobs
218
About the company
Founded in 2016, Unique Laneways is a modern real estate company driven by a passion for redefining urban living. With a keen focus on curated properties and personalized service, we specialize in uncovering hidden gems and distinctive homes that reflect the unique lifestyles of our clients. Whether you're searching for a cozy city laneway residence, a creative investment opportunity, or a vibrant community to call home, Unique Laneways is here to guide you every step of the way. Our name reflects our mission: to lead you through the uncommon paths of real estate, where every property has a story—and every client has a vision worth realizing.
Our Services
At Unique Laneways, we provide end-to-end real estate solutions designed to bring your vision to life. Our core services include:
- Project Conceptualisation & Design
- We collaborate closely with developers and architects to shape distinctive, market-ready concepts that align with both aesthetic goals and functional needs.
- Branding, Sales & Marketing
- From naming and identity to targeted campaigns, we craft compelling brand narratives and sales strategies that capture attention and drive results.
- Leasing Support
- Our experienced team offers strategic leasing guidance to optimize occupancy, attract the right tenants, and maximize property value.
- Legal & Compliance
- We ensure every project meets legal standards and regulatory requirements, providing peace of mind through meticulous documentation and expert oversight.
Jobs
3
About the company
Jobs
2
About the company
Blitzy is a Boston, MA based Generative AI Start-up with an established office in Pune, India. We are on a mission to automate custom software creation to unlock the next industrial revolution. We're backed by multiple tier 1 investors, have success as founders at the last start-up, and dozens of Generative AI patents to our names.
Our Culture
Our Co-Founder and CTO is a Serial Gen AI Inventor who grew up in Pune, India, is a BITS Pilani graduate, and worked at NVIDIA's Pune office for 6 years. There, he was promoted 5 times in 6 years and was transferred to the NVIDIA Headquarters in Santa Clara, California. After making significant contributions to NVIDIA, he proceeded to attend Harvard for his dual Masters in Engineering and MBA from HBS. Our other Co-Founder/CEO is a successful Serial Entrepreneur who has built multiple companies. As a team, we work very hard, have a curious mind-set, and believe in a low-ego high output approach.
Funding Journey
In September 2024, Blitzy secured $4.4M in seed funding from prominent investors including Link Ventures, Asymmetric Capital Partners, Flybridge, and four other strategic investors, demonstrating strong market confidence in their autonomous software development platform.
Our Values
- We move Blitzy Fast: Time is both our company's and our client's most precious asset. We move fast and fearlessly to innovate internally and deliver exceptional software externally to our clients.
- We have a Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
- We have a Passion for Invention: We are inventors at heart. We value starting with best practices and open source, but we are pushing the frontier of what is possible.
- We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships to deep, meaningful partnerships.
What We Ask of Candidates
Please ask yourself if you are ready for a challenge before applying. Even in optimal conditions, Start-Ups are hard, and are always a lot of work. What you do week to week will change. If this feels exciting, not concerning, that's a good sign.
Jobs
2
About the company
Joining the team behind the world’s most trusted artifact firewall isn’t just a job - it’s a mission.
🧩 What the Company Does
This company provides software tools to help development teams manage open-source code securely and efficiently. Its platform covers artifact management, automated policy enforcement, vulnerability detection, software bill of materials (SBOM) management, and AI-powered risk analysis. It's used globally by thousands of enterprises and millions of developers to secure their software supply chains.
👥 Founding Team
The company was founded in the late 2000s by a group of open-source contributors, including one who was heavily involved in building a popular Java-based build automation tool. The company was started by veteran engineers with deep roots in the open-source community—one of whom helped create a widely adopted build automation tool used by millions today.
💰 Funding & Financials
Over the years, the company has raised nearly $150 million across several funding rounds, including a large growth round led by a top-tier private equity firm. It crossed $100 million in annual recurring revenue around 2021 and has remained profitable since. Backers include well-known names in venture capital and private equity.
🏆 Key Milestones & Achievements
- Early on, the company took over stewardship of a widely used public code repository.
- It launched tools for artifact repository management and later expanded into automated security and compliance.
- Has blocked hundreds of thousands of malicious open-source packages and helped companies catch risky components before deployment.
- Released AI-powered tools that go beyond CVE databases to detect deeper threats.
- Recognized as a market leader in software composition analysis by major industry analysts.
- Today, it’s used by many Fortune 100 companies across industries like finance, government, and healthcare.
Jobs
11
About the company
Jobs
0
