9series Inc

9series is an AI product engineering company based in India that specializes in building production-ready AI systems and scalable SaaS platforms for enterprise clients. Founded in 2012 (per "12+ years of engineering excellence" on their site), the company claims 500+ enterprise deployments, 100+ production AI agents in the field, and a 95% client retention rate. Their core pitch: they move proof-of-concepts into production by owning the full AI model lifecycle—fine-tuning, hosting, scaling, and governance—rather than leaving clients with prototypes. They serve a global customer base across fintech, healthcare, logistics, supply chain, hospitality, education, and market research sectors.

Services and capabilities

9series organizes their work around five main service lines. Software Product Engineering covers the traditional build-launch-scale cycle: product discovery and strategy, UX/UI design, MVP development, customer-facing applications, B2B SaaS platforms, and API/integration platforms. They claim a process that starts with problem definition and user research, moves through design systems and prototypes, then into agile development sprints with continuous feedback.

Application Modernization targets legacy systems. They assess existing codebases to decide between rehosting, refactoring, re-architecting, or rebuilding. Services include tech stack upgrades (frameworks, languages, CI/CD), cloud migration (AWS, Azure, GCP), database modernization, and performance engineering. A port management client case study shows 60% faster delivery and 35% fewer bugs after modernization.

Data and Analytics encompasses data engineering, warehousing, governance, and advanced analytics. They've built systems that integrate ChatGPT, Azure NLP, and AWS Lex for workflow automation—one fintech research platform (Intuify) reported 45% revenue growth and 25% sales lift after AI/ML integration.

Cloud and Platform Engineering focuses on secure, resilient cloud platforms using DevOps, automation, and infrastructure-as-code practices. Extended Engineering Team offers on-demand staff augmentation—cross-functional engineers integrated into client workflows.

On the AI side, 9series highlights custom AI agents, proprietary data pipelines, model fine-tuning, and governance. They claim 99.9% system uptime across deployments and have published work on applied machine learning, cloud optimization, and enterprise AI ethics.

Notable work

Three projects stand out in the source material. A port management operator modernized three mission-critical applications using AI-driven migration and hybrid LLMs, cutting project timelines by 60% while reducing bugs by 35%. Solvit, an inspection platform company, got an end-to-end asset assessment tool with geo-based solver assignment, offline capabilities, and automated workflows across four user types, achieving 100% process automation. For Intuify (market research), 9series integrated ChatGPT, Azure NLP, and AWS Lex into the research platform, driving 45% revenue growth and 25% sales increase.

Other named clients include CrossChecks (RPAS/drone operations management platform with real-time flight planning and SACAA compliance), Symbiosys (campaign analytics and AdTech platform integrating 5+ ad channels), and Taaraka Technologies (launched within a six-month target with ongoing support).

How they work

9series uses a four-phase methodology: Discover (align on vision, users, success metrics), Design (UX/UI, system architecture, roadmap), Build (agile sprints with continuous testing and feedback), and Scale & Optimize (performance tuning, feature expansion). Client testimonials mention three-times-weekly standups, modern collaboration tools, and teams that stay responsive across time zones. One client noted the team "went out of their way to accommodate certain aspects of the project that went beyond their scope."

The source does not specify pricing models, minimum engagement durations, or dedicated team cost structures. Communication appears to rely on asynchronous standups and shared tooling rather than a single dedicated account manager per client.

Team and credentials

9series does not disclose team size, founder names, or a breakdown of engineers by location in the provided material. They claim 100+ certifications across AWS, Google Cloud, and AI/ML. The company is a contributor to leading AI and cloud-native open-source projects and publishes applied research in machine learning, cloud optimization, and enterprise AI ethics. Partner integrations include AWS, Google Cloud, Microsoft Azure, OpenAI, TensorFlow, SAP, and Salesforce. No Clutch, G2, or third-party review scores are mentioned.