NineBit’s CIQ Brings AI Intelligence to Enterprise Document Systems
Across large companies, documents flow in and out every day through purchase orders, invoices, regulatory files, and more. Yet most of this information remains locked inside traditional systems, making it difficult to extract data, catch errors or automate routine work. In sectors such as logistics and finance, this slows decision-making and keeps teams dependent on manual checks.
Indore-based NineBit wants to change that with CIQ, an AI-powered intelligence layer that sits on top of an organisation’s existing document systems. Founded in 2023, the startup is building tools that allow enterprises to quickly prototype, automate and analyse documents using large language models.
“I wanted to build something that allows the business owner to do rapid prototyping on their own data,” says Co-founder and CEO Rajeev Jamaiyar. “That motivation shaped the platform we have today.”
From Silicon Valley to Indore
Jamaiyar studied computer science engineering at Manipal Institute of Technology before completing an executive MBA from IIM Calcutta. His career took him to Silicon Valley, where he worked at Apple on the first version of iCloud. He later joined SAP as an architect on a data realisation product.
The pace of innovation in large companies felt slow, particularly around AI. “Things were moving pretty slowly in corporate. I wanted to do something really interesting in AI and build something of my own,” he says.
He teamed up with his Manipal batchmates, Anirban Adak (CTO) and Mohit Tripathi (head of marketing), to start NineBit. The company is headquartered in Indore, with its core operations and R&D team based there.
What NineBit Builds
NineBit’s flagship product, CIQ, functions as an intelligence layer on top of enterprise content management (ECM) systems. Jamaiyar describes it as “a layer on top of the ECM that corporates set up,” designed to extract information, compare documents, identify gaps, and automate routine workflows.
At the heart of CIQ is its use of large language models—both paid and open-source—that can read documents, learn patterns and extract useful information without manual effort. This helps companies spot errors and automate routine checks. The strongest demand currently comes from logistics and finance, where teams handle invoices, purchase orders and regulatory documents daily. “They are looking for an AI solution that identifies gaps and flags discrepancies,” Jamaiyar says, especially in areas where people still compare documents manually.
How Enterprises Use CIQ
NineBit follows a B2B model. For pilots, the team hosts CIQ on AWS or Azure, depending on where a client keeps its data. Once the client signs on, NineBit deploys CIQ within the organisation’s own environment and offers development and deployment services. Some customers also require private hosting for security reasons.
The startup maintains its own data-centre-grade hardware to operate CIQ internally. “AI demands high cutting-edge hardware, and that is still costly,” Jamaiyar notes. Early challenges included not only hardware costs but also building trust, as customers were initially hesitant to adopt AI from a young startup.
Clients, Revenue and Bootstrapped Growth
NineBit pivoted from a small B2C experiment to a fully enterprise-focused product in 2023. In its early B2C phase, the team built niche tools such as resume-sorting for recruiters, but revenue limitations prompted a shift. “B2C has limitations in terms of how much revenue you can generate,” Jamaiyar says.
Today the startup has around five clients across the US and Australia, spanning finance, HR and real estate. Its first client came from Jamaiyar’s personal network—an Australian real estate firm seeking to predict property valuation trends.
NineBit charges between $10,000 and $20,000 per project in the US market. The SaaS platform serves as the entry point for pilots, while revenue comes from development and deployment within the client’s environment.
The company remains fully bootstrapped, with an initial investment of Rs 20 lakh from the founder’s savings. “I am seeing a lot of traction in the US market. I want to go ahead for one more year before thinking about raising funds,” Jamaiyar says. Revenue is already flowing from Australia, with ongoing discussions involving Indian and US companies. The startup expects to reach break-even soon.
Competition and Market Opportunity
In the enterprise AI and document automation space, NineBit competes with global players such as Lexion. Jamaiyar believes the opportunity remains open, particularly for small and medium enterprises that lack access to large consulting firms or expensive AI solutions.
According to industry estimates, the Intelligent Document Processing (IDP) and Document AI market stands at about $3–4 billion in 2025 and is projected to grow to roughly $30–50 billion over the next decade, at a CAGR of 25–35%. Jamaiyar expects NineBit to hit its first target of $100,000 in revenue early next year, followed by a longer-term goal of $1 million.
Pipeline and Future Plans
One of the biggest milestones this year has been NineBit’s participation in a national-level AI testing programme run by the National Technical Research Organisation at IIT Delhi. The startup was selected in two out of three categories and ran CIQ on government data inside a secure data centre. “That is the level of validation we are getting right now,” Jamaiyar says. “It helps us go to customers with more conviction.”
In the coming year, NineBit plans to expand internationally, with its first overseas office expected in Dubai once the company crosses the $100,000 revenue threshold. The team is also focused on strengthening traction in the US and eventually re-entering the Indian market with a more mature product.
By sitting as an intelligence layer on existing document systems, CIQ aims to help enterprises move beyond manual processing and unlock faster, more accurate insights from the documents they already manage.