Neural Inverse Private Limited |

Building the First Enterprise On-Chain IDE

Neural Inverse Private Limited | Building the First Enterprise On-Chain IDE

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The Origin of

Neural Inverse

The Origin of Neural Inverse

Neural Inverse was founded by Manipal student Sanjay Senthilkumar after his research revealed a critical flaw: the multi-billion dollar on-chain industry runs on inadequate, high-risk development tools. The company was incorporated in India on November 11, 2024, to build the professional, intelligent solutions this high-stakes environment demands.

view about Sanjay Senthilkumar

What Problem Neural Inverse

Solving

What Problem Neural Inverse Solving

Enterprises demand absolute control over immutable, high-stakes contracts, yet their developers build in a broken environment lacking enforceable compliance and effective tooling. This fundamental disconnect is the direct source of the preventable, multi-billion dollar errors that kill companies and stifle innovation.

90% of Blockchain startups Fails

Technical/Security Challenges, Team/Leadership Gaps, Funding Mismanagement/Hype Risks, and Adoption/Scalability issues collectively contribute to approximately 59% of blockchain startup failures, which Neural Inverse’s Single solution significantly addresses.

A single problem is faced by

Developer and Enterprise

A single problem is faced by Developer and Enterprise

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.

Enterprise

Enterprises demand high security and control, yet developers, often inexperienced, must use inadequate tools lacking compliance 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→

Market Losess

$1.66B

Q1 (Jan-Mar)

$801M

Q2 (Apr-Jun)

$509M

Q3 (Jul-Sep)

How we Solve ?

Drawing on deep experience in both high-velocity engineering and high-stakes enterprise security, we've built the dedicated on- chain development environment where a professional, intuitive workflow and non-negotiable, enforceable compliance are one and the Same, empowering teams to build valuable assets with both speed and institutional-grade policy via one Solution.

For Enterprise |

Governance & Enterprise Layer

For Enterprise | Governance & Enterprise Layer

Enforceable Governance and 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 Enterprise |

Efficiency & Productivity Layer

For Developers | 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.

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.

Our Innovation

Policy-as-Code

AI embeds dynamic security rules in dev cycles, eliminating 38% DeFi audit failures for inevitable compliance in immutable contract deployments.

AI Co-pilot

Neural Inverse's AI fine tuned models automate code orchestration, predicting flaws via Agents modeling to cut 33% human-error losses in hacks.

Complex Systems

Our system, built with intricate algorithms, streamlines on-chain dev, ensuring precise contract creation and deployment with 40% efficiency gains.

Interactive Debuggers

Neural Inverse’s debuggers dissect code in real-time within the IDE, eliminating bugs like Nomad’s $190M fiasco—pure, no-nonsense precision.