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Neural Inverse x AJVC |
To Build the First Enterprise On-Chain IDE

Neural Inverse x AJVC |To Build the First Enterprise On-Chain IDE

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What Problem Neural Inverse
Solving

What Problem Neural Inverse Solving

Smart contract code is immutable once deployed, it cannot be changed. A single bug becomes a permanent, catastrophic loss. The industry has already lost over $11 billion to preventable vulnerabilities.

Enterprises manage billion-dollar liability with general-purpose IDEs and optional security plugins—creating a massive "control and visibility gap" for high-stakes code. They rely on multiple expensive audits that happen after risk is already embedded.

Capital Destroyed in 2025 Alone

$1.66B
Q1 (Jan-Mar)
$801M
Q2 (Apr-Jun)
$509M
Q3 (Jul-Sep)
Single problem
view from User and Customer

Single problemfrom User and Customer

User: Dev

Developers are required to create high-stakes contracts in an environment lacking effective tools and debuggers, with N Number Unknown plugins. This leads to vulnerabilities and development flaws in Contracts, resulting in significant losses for enterprises.

Customer: Enterprise

Enterprises demand high security and control, yet developers, often inexperienced, must use inadequate tools lacking governance checks no control over their Product development, leading to costly errors at best and company closure at Worst due to product unusability and Trust.

Every Data Point Points to One Core Problem

Security Non-Priority
83% interviewees do not prioritize security (n=29); Rely on audits/speed-to-market
arXiv:2204.11193
Security Tool Adoption
31% use SC security tools (static analysis 17%, Truffle 14%, Remix plugins 14%); manual inspection dominates at 64%.
usenix conference
Human Error in Losses
33% of $1.09B losses from human/ops errors (e.g., misconfigs, retained keys); e.g., Nomad Bridge $190M from upgrade flaw, Infini $49.5M from dev privileges.
arXiv:2507.20175
SAST Tools Failures
 Miss ~50% of vulnerabilities (788 SC files, 10,394 bugs benchmarked; precision <10%) drowning devs in false positives So dev skips Using due precision
arXiv:2404.18186
SC Experience Levels
53.4% ≤1yr SC exp; 32.8% 1-2yrs; 13.8% >2yrs (n=232); avg interview 1.27yrs SC vs 11.35yrs general.
Weiqin Zou TSE19
DAO Attack Loss
$60M Ether stolen in 2016 DAO reentrancy exploit; Parity Wallet: $30M drained + $280M locked; KuCoin 2020: $280M+ stolen (high-profile incidents)
arXiv:2311.00270
Code Review Inefficiencies
66.4% devs find reviews time-consuming; 80.2% hard to find qualified reviewers for vulns; only 26.3% use GitHub help, 27.2% hire agencies—delaying deploys in immutable envs
Weiqin ZOU SMU SG
Debugging Pain Points
88.8% devs find debugging difficult; 69% cite lack of interactive debuggers; Resort to hacks like code commenting (65.1%) or events for state checks (56.5%).
Weiqin Zou TSE19
Attack Category Losses
 Integer Underflow $11.8M (2 incidents); Governance $4.67M (2); Dangerous Delegatecall $4.8M (2); Storage Collisions $355K (1).
arXiv:2507.20175
Hack Increase
2024 hacks stole $2.2 billion (21% YoY increase), the fifth year exceeding $1B threshold, emphasizing escalating dev challenges in secure on-chain protocol design.
arXiv:2506.17988
High-Severity Governance Issues
In 4,446 DeFi audit reports, 38% of high-severity issues tie to governance, with 7,346 total governance problems; enterprises face massive compliance gaps
arXiv:2311.01433
Skip Security on Reused Code
6.4% of devs reuse Stack Overflow snippets without checks, introducing vulns in 20% of cases; tools fail on 86% fragmented code.
arXiv:2407.13271
5/6 Devs Reject Fuzzer
83% (5/6) of devs refuse fuzzing tools post-study due to learning curves, detecting only trivial bugs in 90min; correlates to 42 tool-untouchable logic exploits .
arXiv:2506.07389
63% AI Exploit Success Rate
I agent A1 generated exploits for 63% of VERITE benchmark cases (17/27), simulating $9.33M drains and outpacing tools, heightening enterprise threats from dev gaps,
arXiv:2507.05558
250 More Case Studies point to One Single Problem In dev ?, View all→
How we Solve ?

We are building the industry's first enterprise IDE with enforceable GRC for on-chain Development, architected on the IntelliJ open-source Infrastructure.
‍
Unlike the optional security plugins, our dedicated IDE is the first to make security and GRC an enforced, non-negotiable layer of the development workflow. We turn a high-risk, chaotic process into the secure, auditable engineering discipline that enterprises require to build on-chain with confidence and speed.

For Enterprise |
Governance & Enterprise  Layer

For Enterprise | Governance & Enterprise  Layer

Enforceable Governance, and Risk management policy layer into developer workflow.
Turn your static security doctrines into active, non-optional rules embedded directly within the development lifecycle, ensuring policies are followed by default.
Centralized Visibility Across Your On-Chain Projects
Gain a unified, real-time view of your organization's development activity, risk posture, and policy adherence from a single, intuitive dashboard.
Automate Pre-Audit Readiness & Compliance Reporting
Drastically reduce the time and cost of security audits by generating auditable logs and compliance reports automatically, ensuring you are always prepared.
For Developer |
Efficiency & Productivity Layer

For Developer | Efficiency & Productivity Layer

A Truly Unified Development Environment
Go from writing code to live contract interaction within a single, state-aware workflow, turning fragmented manual steps into a seamless and powerful development flow.
AI Intelligent Code & Project Automation
Our IDE and fine-tuned AI model and Agents act as your architectural co-pilot, providing system-aware assistance/orchestration to help you write smarter and better-integrated code.
Interactive Debugging & Mainnet Forking Suite
Diagnose and fix complex bugs with precision by interactively debugging transactions against a live fork of the mainnet, directly within your editor.

Market Opportunity in 2027

$1.5B
TAM
$600M
SAM
$30M
SOM

Revenue Streams

Open Source (CE)

Foundational Layer with default best practices Standards policy Set by Neural Inverse Research Team.
community edition

Business (Licensing )

Enforceable Policy set to meet their own standards with Developer Productivity First-In.
Best for Business Teams
$250/Seat/Month + Licensing Charge($10K-$100K/year)

Enterprise (Licensing)

Everything in business with collaboration, management feature with third party auditing on IDE.
Best for Enterprise Teams
$400/Seat/Month+Licensing Charge($10k to $150K)

GTM Strategy

Design partners program

We secure 3-5 respected industry leaders as non-paying partners to validate our core thesis and co-build a solution, earning their logos and trust.

1'st lighthouse customer

We convert our most successful design partner into a full enterprise client, creating the flagship case study and logo to prove our market value.

Sales scaling & repeat

We use our lighthouse case study to close a cohort of lookalike customers, documenting every step to create a repeatable, data-driven sales playbook.

Vertical Scaling

We penetrate a new enterprise vertical by translating our proven security model for a single, high-value pilot customer, unlocking a much larger addressable market.

Competitive analysis

Neural Inverse Team

Final Year students from MIT Manipal and different Colleges

pre-plan on Scale

Sanjay Senthilkumar

CEO and founder

Sharath S S

CTO

Jaikrishna L

C00

Vakeesh M

Co-founder  and sales

Lead Architect  

A Senior Java Developer at Intuit with over 15 years of experience in enterprise system design

Thirumurthy Ranganathan

Lead Architect and technical review (Part-Time)

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