By Abhishek Gupta, Co-Founder, Dekrypt Labs
There's a small textile exporter in Surat who has been losing market share for two years. He knows it's happening. He doesn't know why.
His competitor — same cluster, similar product — is winning orders from buyers in Germany that used to be his. He assumes it's pricing. Maybe it's quality. Possibly a relationship he doesn't know about. He'll spend ₹3-4 lakh on a consultant who will take eight weeks, deliver a 60-slide deck, and confirm his suspicions with data that's already six months old.
This is the reality for most Indian SMBs. Not a lack of ambition. Not a lack of capital. A lack of intelligence.
India has 6.3 crore MSMEs. They collectively employ more people than any sector in the country. But the overwhelming majority make strategic decisions — which market to enter, which buyer to pursue, which product to double down on — based on gut feel, distributor gossip, and WhatsApp forwards.
The large corporates don't. Reliance has analysts. Tata has strategic intelligence units. Even mid-sized listed companies have access to Bloomberg, CMIE, and dedicated research firms. They know what their competitors filed with MCA last quarter. They know which regulatory change is coming three months before it hits. They know how their distribution network compares in every district.
The SMB doesn't. And that gap — between knowing and guessing — compounds every single year.
Business intelligence isn't a dashboard showing last month's sales. That's reporting. Intelligence is forward-looking, competitive, and contextual.
For an NBFC, intelligence means knowing which micro-markets are seeing rising delinquency before your portfolio shows it. It means understanding how a competitor is structuring their gold loan products in Q3 before they announce it publicly.
For a manufacturing SMB, intelligence means tracking which buyers are diversifying suppliers — often visible through import data and trade filings — before your relationship manager finds out.
For a retail chain, intelligence means understanding footfall patterns, new competition entering your pin codes, and where the category is heading — not six months after it's happened, but in real time.
The question isn't whether this intelligence is available. Most of it is public. RBI filings. MCA records. Import-export data from DGFT. GST registration patterns. Trade press. Job postings. Court records. Regulatory circulars.
The problem is that synthesising it used to require a team of analysts, weeks of work, and a budget most SMBs can't justify.
This is where the equation has fundamentally changed.
Large language models, trained on vast datasets and connected to live regulatory and market data, can now do in minutes what took a research team weeks. Not approximately — with comparable depth and significantly better speed.
Ask the right system what the competitive landscape looks like for a micro-lender entering the Tier 2 NBFC gold loan market in Maharashtra, and it can pull RBI circulars, analyse competitor branch expansion filings, map delinquency trends in relevant geographies, and surface regulatory risk — in a single session.
Ask it to monitor a competitor's MCA filings and alert you when their paid-up capital changes, or when a new director joins their board. Done automatically, without a retainer.
This isn't hypothetical. This is what AI-native business intelligence systems are doing today.
India has unique data richness that's underexploited. SEBI disclosures. RBI master directions. MCA21 filings. IRDAI reports. State GST data. These are gold mines of competitive and regulatory intelligence — almost entirely untapped by the businesses that would benefit most.
The traditional consulting model couldn't unlock this because it's too fragmented and too voluminous for human analysts to track continuously. AI doesn't have that constraint.
For Indian SMBs specifically, this creates a genuine competitive equaliser. The Surat exporter who can monitor buyer diversification patterns in real time. The NBFC that knows a regulatory circular is coming two weeks before competitors adjust their products. The retail chain that identifies a whitespace in a tier-3 city before a competitor moves in.
Intelligence used to be a privilege of scale. It no longer has to be.
If you're running a business in India and making strategic decisions without structured intelligence — about your competitors, your regulatory environment, your market — you're making those decisions at a disadvantage that's getting larger, not smaller.
The tools to fix this now exist. The cost is no longer prohibitive. The question is how quickly you choose to use them.
Dekrypt Labs builds BIOS — a Business Intelligence Operating System designed specifically for Indian businesses. If you want to see what intelligence-driven decisions look like for a business like yours, start at dekryptlabs.com.
Abhishek Gupta is Co-Founder at Dekrypt Labs, where he works on making institutional-grade business intelligence accessible to Indian SMBs and financial institutions.