A San Jose consultancy that grew up on open-source big data and rebuilt itself for the age of generative and agentic AI.
InfoObjects Inc., headquartered at 4950 Hamilton Avenue, San Jose - a firm that went from Hadoop clusters to LLM agents without changing its address.
When Rishi Yadav and Sudhir Jangir started InfoObjects in 2005, "big data" was still a phrase you had to explain. The company built its early reputation on the open-source data stack - Apache Hadoop, then Apache Spark and Kafka - helping enterprises move, process and make sense of data at scale. Yadav did not just use the tools; he wrote about them. His two Packt books, Spark Cookbook and Apache Spark 2.x Cookbook, put the firm's name in front of engineers worldwide and signaled a habit that still defines the company: go deep on the technology, then build with it.
Twenty years later, the vocabulary has changed. The website now leads with generative AI, agentic AI and digital transformation. What has not changed is the underlying bet - that enterprises need partners who can handle the unglamorous data engineering as capably as the headline-grabbing AI. InfoObjects sits at that intersection, offering consulting across generative and agentic AI, machine learning, data engineering, analytics, cloud, DevOps and site reliability engineering.
"InfoObjects helps data-driven businesses gain new insights into their data."
What it does. At its core, InfoObjects is a professional-services firm. Clients hire it to design and ship systems: data pipelines and real-time streaming, cloud migrations across AWS, Azure and Google Cloud, and increasingly, AI applications built on foundation models. Its generative-AI menu reads like the current state of the field - fine-tuning models, retrieval-augmented generation, synthetic data generation, data annotation, legacy code conversion and human-in-the-loop workflows.
Who uses it. The customer base is enterprise, spread across finance, healthcare, manufacturing, retail and technology. The company cites 25+ enterprise customers and 40+ AI and agentic use cases shipped, delivered by a workforce it describes as 500+ AI and data experts across roughly seven countries. These are not consumer users tapping an app; they are organizations with legacy systems, compliance constraints and a low tolerance for AI that "mostly works."
"Expert AI consulting with a product-engineering mindset."
Fine-tuning foundation models, retrieval-augmented generation, synthetic data, data annotation and AI application development.
Autonomous and human-in-the-loop agents built for enterprise workflows and automation.
Pipelines, real-time streaming and analytics on Apache Spark, Kafka and modern data platforms.
Migration and modernization across AWS, Azure and GCP with Kubernetes, automation and reliability engineering.
Model development, training, evaluation and deployment with PyTorch, TensorFlow, MLflow and Kubeflow.
AI-assisted conversion and modernization of legacy applications and codebases.
InfoObjects occupies the space between the global systems integrators and the tiny AI boutiques. Third-party trackers list its competitors as IBM, Infosys, Hewlett Packard Enterprise, Mindtree and UST - firms many times its size. Against them, a roughly 250-person, bootstrapped specialist competes on focus rather than breadth: data and AI, done deeply, without the overhead of a sprawling services catalog.
Its business model is straightforward B2B services - project delivery, staff augmentation and managed engagements - complemented by cloud-marketplace listings such as AWS Marketplace. Revenue estimates vary widely by source, from roughly $16M to $65M annually, reflecting the opacity typical of privately held consultancies. What is consistent is the absence of venture funding: InfoObjects has grown organically for two decades.
"Ranked #2 globally on G2 for AI consulting."
Rishi Yadav and Sudhir Jangir launch the firm in San Jose, focused on open-source big data.
Founder Rishi Yadav authors a Packt title covering Spark Core, SQL, Streaming, MLlib and GraphX.
A second book cements the company's open-source big-data credibility.
The practice broadens into multi-cloud migration, Kubernetes and site reliability engineering.
A new logo and positioning signal a deepening move into generative AI.
The portfolio recenters on agentic AI with Anthropic and OpenAI partnerships; ranked #2 on G2 for AI consulting.
Founder Rishi Yadav authored two published Apache Spark books - the firm's expertise is literally on the shelf.
InfoObjects has never raised a venture round; it has grown organically since 2005.
Its tech footprint spans early big data through modern vector databases like Pinecone and Weaviate.
It is an AI consulting and digital-transformation firm offering generative AI, agentic AI, machine learning, data engineering, analytics, cloud, DevOps and SRE services to enterprises.
It was founded in 2005 by Rishi Yadav (CEO) and Sudhir Jangir (CTO), and is headquartered in San Jose, California.
No public funding rounds are on record; the company has grown organically as a bootstrapped business.
It partners with AWS, Google Cloud, Microsoft Azure, Databricks, Anthropic and OpenAI, among others.
It is ranked #2 globally on G2 for AI consulting, its founder authored two Apache Spark books, and it emphasizes shipping production-grade, human-in-the-loop AI use cases.