Indian enterprises lack granular, self-hosted control over escalating LLM token costs, prompt injection risks, and shadow AI usage.
Why this surfaced. The convergence of runaway API costs and security vulnerabilities in recursive agentic workflows creates an urgent need for an 'AI firewall' that sits between applications and LLM providers.
What the opportunity is, and why the buyer cares enough to pay.
As Indian firms shift from LLM experimentation to production, they are facing 'bill shock' from recursive agent loops and security risks from unmonitored prompt injections. Current solutions are either too lightweight or lack the enterprise-grade auditability required for regulated sectors like BFSI. This opportunity lies in building a self-hosted, policy-driven gateway that enforces hard cost caps and sanitizes inputs before they hit the LLM provider.
Target customer
CTOs and Engineering leads at mid-to-large Indian SaaS companies and BFSI firms adopting GenAI.
India relevance
Indian enterprises are highly cost-sensitive and operate under strict data residency/sovereignty requirements, making self-hosted, audit-ready AI gateways a strategic necessity rather than a luxury.
Why it matters
Without a centralized control plane, enterprises risk significant financial leakage and potential data leakage through prompt injection, which could trigger severe non-compliance penalties under the DPDP Act.
Signal intensity over the trailing six months, and what drives it.
Signals indicate a shift from simple observability to active enforcement; developers are actively seeking self-hosted proxies to manage budgets and prevent recursive runaway costs, moving away from 'blind' API calls.
Roles companies are already paying for to solve this internally.
| Role | Volume | Salary band | Postings |
|---|---|---|---|
| AI Infrastructure Engineer | Medium | 25L-50L INR | 1200 |
The expertise required, and how hard it is to hire in India.
High
Rules that convert a nice-to-have into a mandatory purchase.
Mandates strict data governance and protection, relevant to LLM input/output sanitization.
What recently became possible or cheap enough to make this viable.
| Technology | Adoption | Relevance |
|---|---|---|
| Token Caching | Low | Crucial for reducing latency and costs in high-frequency Indian enterprise use cases. |
Who is already here, and what they are leaving on the table.
| Player | Category | Strength | Pricing |
|---|---|---|---|
| LiteLLM | Open Source Proxy | Strong | Open Source |
| Portkey | Managed AI Gateway | Strong | Usage-based |
The gap
A 'compliance-first' gateway that offers local, self-hosted deployment specifically for Indian BFSI/RegTech firms that cannot send metadata to third-party cloud-based observability platforms.
A concrete first version, and how it would make money.
Recommended MVP
A Go-based, self-hosted proxy that enforces hard cost-per-user limits and includes a basic prompt-sanitization layer for common injection patterns.
Monetisation hypothesis
Tiered subscription model based on throughput, starting at ₹50,000/month for enterprise-grade self-hosted instances with dedicated support.
What would most plausibly kill this. Read before committing capital.
IT Services & Enterprise Software
Indian IT services firms face severe margin compression when manually migrating enterprise legacy code (Java 8, PHP) to modern architectures (Go, Node.js, Python) with…
Buyer: Engineering VPs, Enterprise Architects, and Delivery Heads at Indian IT…
Autonomous agents call tools and models recursively, and a single loop can drain a budget or exfiltrate data before anyone notices.
Buyer: AI product teams, platform engineering groups, and enterprise security…
12 signals from github and rss clustered around implementation, india, parent, agent without matching any tracked opportunity.
Buyer: Not yet determined from the available signals