As the defense sector accelerates adoption of AI and software-defined capabilities, the need for embedded, mathematically verifiable assurance is no longer theoretical—it’s operationally essential. Lagrange’s inclusion reflects this shift and signals growing institutional recognition of ZK-powered cryptographic proof systems as foundational to trusted autonomy.

DeepProve: ZK Verification for Critical Defense Workflows

DeepProve introduces cryptographic verification directly into AI-driven subsystems and telemetry pipelines. Using zero-knowledge proofs, it validates that outputs from AI models and mission software are derived from authorized logic, using untampered inputs, without requiring access to proprietary code or sensitive data.

In practical terms:

• AI-enabled systems can attach proofs of correctness to their outputs

• Defense operators can validate decisions without revealing internal system logic

• Entire workflows—from targeting to threat detection—can be cryptographically audited

This evolution is especially relevant for complex, dynamic environments like missile defense, battlefield intelligence, and autonomous surveillance platforms, where both correctness and accountability must be guaranteed under adversarial pressure.

Lagrange is now a registered supplier in Raytheon Technologies’ (@rtx_news) vendor network, allowing Raytheon teams to discover and evaluate Lagrange’s DeepProve as part of their supplier ecosystem.

Learn more: 🧵 pic.twitter.com/hU3WY7wyt5

— LAGRANGE (@lagrangedev) November 26, 2025

Securing the Full Lifecycle: From Firmware to Fire-Control

Defense systems increasingly operate within distributed, software-rich ecosystems that extend far beyond any single battlefield platform. This includes firmware updates, sensor telemetry, and supply-chain data flows—all of which must remain uncompromised to ensure mission integrity.

DeepProve offers an additional security layer for these lifecycles:

• Verifies authenticity of firmware and system updates

• Detects tampering in telemetry or sensor data streams

• Enforces proof-backed compliance across distributed defense networks

By doing so, Lagrange helps prevent corrupted inputs, malicious firmware injections, or insider threats from undermining critical systems.

Airborne and Naval Applications: Verifiable Mission Assurance

Platforms operating in the air and at sea—such as UAVs, fighter jets, and maritime patrol systems—face uniquely complex operating conditions. Here, DeepProve enables provable assurance that AI-driven systems adhere to mission constraints and safety envelopes during execution.

Key advantages include:

• Onboard AI can prove adherence to routing, detection, and engagement policies

• Operators and command centers gain mathematically grounded confidence in AI behavior

• Mission logs include cryptographic evidence of system performance

This significantly reduces the risks associated with model drift, sensor anomalies, or unauthorized overrides, while enhancing command transparency and accountability.

Accelerating Certification and Technical Review

Defense platforms must navigate rigorous certification processes to meet regulatory and contractual standards. DeepProve supports these efforts with reproducible, tamper-evident artifacts that simplify technical validation.

With cryptographic proofs, programs can demonstrate that:

• AI components followed authorized logic

• Data was processed according to approved standards

• No upstream manipulation or firmware compromise occurred

This reduces certification friction, streamlines technical review cycles, and enhances trust between defense contractors and government stakeholders—all without disclosing sensitive IP.

A New Security Paradigm for Trusted Autonomy

The future of defense autonomy will not rely solely on performance—it will be built on verifiable trust. Lagrange’s approach enables systems not only to operate autonomously, but also to prove, in cryptographic terms, that they did so correctly.

By entering Raytheon Technologies’ supplier network, Lagrange gains a strategic foothold in one of the most advanced defense ecosystems in the world. This partnership reflects a broader movement toward trusted AI, zero-trust architecture, and cryptographic accountability in national defense operations.

About Lagrange Labs

Lagrange is building the cryptographic backbone for verifiable computing. Through its DeepProve framework, the company delivers zero-knowledge proof systems that bring transparency, auditability, and trust to AI-powered systems across finance, defense, and industrial automation.

🔗 Website: https://www.lagrange.dev/
📣 Twitter (X): https://x.com/lagrangedev

About Raytheon Technologies

Raytheon Technologies is a global aerospace and defense company delivering advanced systems and services for commercial, military, and government customers. Its capabilities span missile defense, radar systems, cybersecurity, and next-generation aircraft systems.

🔗 Website: https://www.rtx.com
📣 Twitter (X): https://x.com/RTX_News

The post Lagrange Joins Raytheon Supplier Network to Deliver Cryptographic Verification for Mission-Critical Defense Systems appeared first on Smart Liquidity Research.

This integration is a game changer for developers, offering them the ability to send a query from their smart contract and get the ZK-proven result cheaply and blazingly fast on an L2 chain like Fraxtal, even for data that is from a different blockchain, such as Ethereum. There’s also no need to build out bespoke data processing mechanisms or rely on intermediaries, and developers can leverage the strong security guarantees provided by ZK proofs. In short, this capability unlocks a whole new array of cross-chain and big data applications that weren’t previously feasible.

About Lagrange’s ZK Coprocessor

Lagrange’s ZK Coprocessor tackles the scalability issues of onchain applications by preprocessing blockchain data into a Verifiable Database. It employs an off-chain network of nodes to execute parallelized computations and generate ZK proofs, which are then brought back onchain. The coprocessor relies on a network of provers staked on EigenLayer, ensuring the liveness of proofs with cryptoeconomic guarantees. Nodes failing to deliver correct proofs face economic penalties. This hyper-parallel coprocessor enables developers to query large sets of blockchain data directly from smart contracts efficiently.

How It Works

Lagrange’s ZK Coprocessor consists of independent provers executing computations in parallel under the coordinator’s direction. It interfaces with blockchain data, such as Ethereum, for tasks like reading updates or sending query results. Integrated with Fraxtal, it acts as an intermediary, processing queries from Fraxtal smart contracts about Ethereum data, executing computations, and sending proof-based results back. For instance, in an app allowing Pudgy Penguin holders to mint NFTs, the ZK Coprocessor enables direct querying from Fraxtal, offering gas savings and eliminating the need for separate data processing or oracles.

Exploring Additional Functionalities Together

Looking beyond simple querying of an NFT contract, the Lagrange ZK Coprocessor enables a variety of new dynamic DeFi primitives to be built by developers on Fraxstal. Frax and Lagrange will be continuing to work closely together to pursue use cases related to using large scale verifiable computation to unlock new capital efficient DeFi primitives.

For example, the balance of Frax Shares (FXS) staked by a user on L1 are currently summed with their L2 FXS stake to create their veFXS balance on the veFXSCounter L2 contract. With Lagrange’s ZK Coprocessor, any application on Fraxtal can verify a proof of the result of an SQL query over either the veFXS contract on Ethereum mainnet or Fraxtal L2. This enables applications to easily integrate veFXS positions into their contract logic, irrespective of which chain they are staked on. As Frax and FXS continue to spread across the rollup ecosystem, native staking of FXS can be made possible on veFXS contracts on any other L2. Lagrange’s ZK Coprocessor proofs can act as a glue to easily sum the balance of positions across each of these execution spaces.

Moreover, applications on Fraxtal can implement their own staking logic similar to veFXS with any ERC20 without requiring a sequencer update to adjust the sum of positions within the L2 contract.

Another relevant use case of Lagrange’s ZK Coprocessor with Fraxtal is blockspace incentives based on cross-chain positions. For example, the Flox Rank of a user could be amplified through a boost function that incentivizes users to provide liquidity in a DEX on Ethereum for a FRAX or FXS asset pair. With Lagrange’s ZK Coprocessor, Frax and other protocols building on Fraxtal can easily implement these mechanisms by verifying proofs of SQL computation over Ethereum mainnet state.

About Fraxtal & Frax Finance

Fraxtal is a modular rollup from Frax Finance that utilizes the OP stack for its smart contract platform and execution environment. To fuel the ecosystem, Fraxtal has blockspace incentives called Flox that reward users and developers for spending gas and interacting with any smart contract on the network. The native gas token is Frax Ether (frxETH) issued by Frax Finance.

Frax is a DeFi protocol that issues decentralized stablecoins and supports them with an ecosystem of sub-protocols. Unlike traditional stablecoins that are backed by fiat reserves, Frax achieves stability and ensures decentralization through both a collateralized and an algorithmic approach.

Website | Twitter

About Lagrange

Verifiably compute over blockchain data at a big data scale with Lagrange’s ZK Coprocessor and unlock new data-intensive and cross-chain applications. Also its mission is to unlock new types of data-intensive and cross-chain applications by enabling verifiable computation over blockchain data at a ‘big data’ scale. The way we achieve this is through our hyper-parallel ZK Coprocessor.

Website | Twitter

SOURCE:
Lagrange

REQUEST AN ARTICLE

The post Frax and Lagrange Cross-Chain Queries appeared first on Smart Liquidity Research.

This integration will merge Lagrange’s State Committee, functioning as a ZK light client, with Polymer’s Ethereum interoperability hub that utilizes the IBC standard. As a result, it will enhance reliability and speed up transactions for Optimistic rollups.

Explanation of the Integration Process

The integration includes the steps outlined in the diagram below:

• Operators of Lagrange State Committees generate ZK proofs attesting to the execution of L2 chains (currently available with Base and Optimism).
• The attestation proofs are consumed by Polymer and an aggregated ZK proof encompassing multiple transactions across different rollups can be generated.
• Polymer is then able to send the aggregated ZK proof to destination chains via a relayer.

Exploring Uncharted Territories with Lagrange and Polymer

By combining Lagrange’s ZK primitives with Polymer’s IBC clients, this method reduces costs and simplifies the verification of individual chain states. Moreover, it offers a more effective and dependable approach to linking various blockchains. Lagrange is an Actively Validated Service (AVS) on EigenLayer, and the integration of Polymer with EigenDA enhances shared security via EigenLayer’s restaking model.

The integration of Lagrange and Polymer, backed by EigenLayer’s restaking framework, represents a significant advancement in blockchain interoperability. This development brings enhanced efficiency, security, and scalability to the Ethereum ecosystem.

Additionally, Lagrange and Polymer will delve into future collaboration initiatives as part of this integration.

• Deploying a State Committee to attest to the state of Polymer’s L2
• Expanding State Committee and IBC support to new rollup ecosystems
• Integrating Lagrange’s ZK Coprocessor with Polymer’s interoperability capabilities

Lagrange Labs created Zero-Knowledge Coprocessing protocol for verifiable computations across blockchains. Their decentralized network generates ZK proofs off-chain for on-chain submission, enhancing efficiency and cost-effectiveness. This enables innovations in cross-chain interoperability and complex computations over big data.

Polymer enhances the Ethereum ecosystem with IBC, combining Optimism stack, Eigenlayer, and Cosmos SDK for secure and scalable interoperability.

FOLLOW Lagrange

Website | X 

FOLLOW Polymer Labs

Website | X

RESOURCES

Lagrange Dev

REQUEST AN ARTICLE

The post Lagrange collaborates with Polymer appeared first on Smart Liquidity Research.