ELSOUL LABO Begins Offering ERPC Enterprise and SLV Enterprise — Supporting Companies and Projects Across Solana RPC-Based Application Development, SLV AI, and Validator Operations

ELSOUL LABO B.V. (headquartered in Amsterdam, the Netherlands; CEO: Fumitake Kawasaki) and Validators DAO are pleased to announce that they have begun offering ERPC Enterprise and SLV Enterprise.

ERPC Enterprise is a dedicated point of contact for companies and projects seeking support and consultation on dedicated configurations for Solana RPC-based application development, real-time communication including WebSocket, Solana Geyser gRPC, Solana Shredstream, bare metal servers, high-performance VPS, and dedicated infrastructure setups.

SLV Enterprise is a support channel for introducing and applying the open-source Solana development tool SLV and SLV AI in real-world application development, validator operations, Solana RPC operations, and infrastructure construction. It supports companies and developers who want to use SLV AI but are unsure how to give instructions, how to incorporate it into their development flow, how much to delegate to an AI agent, and which parts should still be reviewed by humans, based on practical operational experience.

ERPC Enterprise mainly focuses on infrastructure configuration, dedicated resources, network placement, and real-time data delivery architecture. SLV Enterprise mainly focuses on development and operations workflows using SLV AI, validator operations, and work design with AI agents. By combining both, companies and projects can organize the infrastructure and development operations processes required for Solana application development in an integrated manner.

ERPC Enterprise: https://erpc.global/en/enterprise/ SLV Enterprise: https://slv.dev/en/enterprise/

ELSOUL LABO and Validators DAO have continued research, development, and real-world operations across Solana RPC, Solana Geyser gRPC, Solana Shredstream, validator operations, SLV AI, and dedicated infrastructure. Through this work, we receive many questions and consultations every day about the Solana network, infrastructure for the blockchain era, execution environments for on-chain applications, and development methods using AI agents.

One recurring challenge is that, in this new field, it is often difficult to know what should be judged and how. Building a Solana application is not simply a matter of connecting to a Solana RPC endpoint. Teams need to decide whether to use Solana RPC (HTTP), WebSocket, Solana Geyser gRPC, or Solana Shredstream; which region to deploy in; how to control costs as connection counts and subscription volume increase; how close application servers should be to data delivery infrastructure; and what level of performance is required for transaction sending and real-time detection. These decisions directly affect product quality and operating costs.

In recent years, some projects have faced excessive costs under existing configurations and pricing models as WebSocket communication and real-time subscriptions have increased. Applications that subscribe to large volumes of on-chain events, real-time notification systems, trading applications, monitoring systems, analytics platforms, games, DePIN, AI x Crypto, payments, and NFT-related projects all need to design the balance among traffic volume, connection count, latency, availability, and cost from an early stage.

ERPC Enterprise and SLV Enterprise have been launched to support these needs. They provide a clear path for companies and projects to focus on their applications and business objectives while consulting on infrastructure configuration, network design, real-time data delivery, and AI agent utilization.

ERPC Enterprise provides support and consultation on dedicated configurations for the infrastructure required in Solana RPC-based application development.

The performance of a Solana application is not determined by application code alone. The actual user experience, processing start time, and operating cost can change significantly depending on which Solana RPC endpoint is used, how WebSocket subscriptions are handled, when Solana Geyser gRPC or Solana Shredstream should be introduced, where the application server is placed, and how the transaction sending layer and real-time data receiving layer are separated or integrated.

ERPC provides Solana RPC, Solana Geyser gRPC, Solana Shredstream, bare metal servers, high-performance VPS, and ERPC Global Storage on a single platform. Because these services can be used across the same platform, it is easier to design a consistent path from application development to production operations.

ERPC Enterprise does not simply introduce each product as a standalone service. It helps organize which configuration is realistic based on each customer’s application requirements, traffic volume, real-time needs, target regions, operating scale, and budget. Consultations are available for cases where an existing Solana RPC configuration has become too costly, WebSocket traffic is increasing, the timing for introducing Solana Geyser gRPC or Solana Shredstream needs to be evaluated, or a configuration combining dedicated resources and high-performance servers is being considered.

SLV is an open-source tool that supports Solana validator operations, Solana RPC operations, and Solana application development. SLV AI provides an environment for advancing development and operations through dialogue with AI agents.

However, being able to use an AI agent and being able to integrate it into real product development or production operations are not the same thing. Even when it appears possible to develop through trial and error with AI, taking a product to production level still requires prerequisite knowledge of Solana RPC communication, transaction signing, priority fees, real-time data subscriptions, validator operations, network placement, and server tuning.

SLV Enterprise is a support channel for bridging this gap. It helps companies and developers understand how to use SLV AI effectively, what kinds of instructions should be given to AI agents in Solana application development, how SLV AI can be incorporated into validator setup and operations, and which parts of the workflow should be delegated to AI and which should be reviewed by humans, while proceeding with access to someone familiar with real-world Solana operations.

We have received many inquiries in particular about development using SLV AI. SLV has expanded significantly, including an environment for starting Solana application development from a single smartphone, mobile support through SLV AI Chat, a trade bot starter kit, validator operations support, and native multilingual support. At the same time, for companies and developers using it for the first time, having someone to consult at the first step can itself provide meaningful reassurance.

SLV Enterprise provides support according to each project’s requirements, including SLV AI adoption, development flow organization, validator operations startup, application foundation building, and practical use of open-source SLV.

As AI agents evolve, it has become realistic to write code, build environments, and move applications forward by giving natural language instructions. However, in a domain like Solana, where execution speed, network distance, real-time data, transaction sending, and validator performance are closely connected, the prerequisites for instructing AI are themselves important.

For example, an application that detects on-chain events in real time needs to determine whether WebSocket is sufficient, whether Solana Geyser gRPC should be used, or whether Solana Shredstream is necessary. When there are large volumes of subscriptions or high-frequency event processing, communication costs, connection limits, backend processing capacity, server placement, and regional latency become critical. For applications that involve transaction sending, it is not enough to simply receive events. The full end-to-end latency, including processing after reception, signing, sending, and result confirmation, becomes important.

In this field, having an AI agent alone is not enough. The foundation required to use that AI agent correctly is essential. ERPC Enterprise and SLV Enterprise provide a way for companies and projects to access the infrastructure, networking, validator operations, real-time stream, and AI agent development knowledge accumulated by ELSOUL LABO and Validators DAO.

Behind ERPC Enterprise and SLV Enterprise is infrastructure that is already in operation. ELSOUL LABO operates a Solana-specialized data center using its own ASN, AS200261, assigned by RIPE NCC.

The Epics DAO validator runs on this AS200261 Solana-specialized data center. The Epics DAO validator, which serves as the source for ERPC’s SWQoS endpoints and Epic Shreds delivery, has reached World Overall Rank 3 among all Solana validators in the Shinobi Performance Pool, with a score of 99.93.

This result is not merely a displayed ranking. For real-time Solana applications, validator vote latency, skip rate, network placement, server performance, and data delivery paths directly affect when application-side processing can begin. High-performance validator operations, network design, Solana RPC, Solana Geyser gRPC, Solana Shredstream delivery infrastructure, and application execution environments need to be considered together in order to provide high-quality services.

The support provided through Enterprise is not abstract consulting alone. It is based on a platform and operational knowledge built through running infrastructure, improving it, benchmarking it, and supporting production environments.

ELSOUL LABO has been approved for five consecutive years since 2022 under WBSO, the Dutch government’s research and development support program. The company continues research and development related to Solana RPC infrastructure, validator operations, real-time data delivery, and AI agent-based operations and development support. The results are reflected in ERPC, SLV, SLV AI, the AS200261 Solana-specialized data center, and related services.

These research and development results are directly connected to the support provided through Enterprise. Network design in AS200261, delivery tuning for Solana Geyser gRPC and Solana Shredstream, low-latency knowledge gained from validator operations, and the agent design and development operations flows of SLV AI are applied directly to configuration consultations and adoption support for companies and projects.

The Solana technical landscape continues to change every day, and continuous verification and improvement are required across networking, clients, validators, Solana RPC, real-time data delivery, and AI agent development. ERPC Enterprise and SLV Enterprise provide technical support that assumes this ongoing change, rather than only offering standalone products.

For companies and projects building on Solana, the most important questions should be what application they are building, who they are delivering value to, and what kind of experience they want to create. In practice, however, many decisions arise before and around application development, including Solana RPC selection, WebSocket costs, Solana Geyser gRPC adoption, the need for Solana Shredstream, server placement, region selection, distance to validators, issue isolation during incidents, and how to use AI agents.

ERPC Enterprise and SLV Enterprise are designed to organize this burden. They provide a path for companies and projects to consult on infrastructure, real-time data, validator operations, and SLV AI utilization so that they can more easily focus on the application itself.

Companies starting Solana development, teams facing cost or performance issues with Solana RPC or WebSocket in existing Solana applications, projects considering real-time applications using Solana Geyser gRPC or Solana Shredstream, companies considering their own validators or dedicated infrastructure, and developers who want to incorporate SLV AI into real development and operations are encouraged to make use of ERPC Enterprise and SLV Enterprise.

For inquiries about ERPC Enterprise and SLV Enterprise, support based on your requirements, dedicated configuration consultations, SLV AI adoption and utilization support, Solana RPC-based application development, validator operations, or infrastructure, please contact us through the following pages.

ERPC Enterprise: https://erpc.global/en/enterprise/ SLV Enterprise: https://slv.dev/en/enterprise/

This service is intended to provide technical support, adoption support, infrastructure configuration support, and information related to development and operations. It does not constitute investment advice, trading strategy recommendations, or solicitation to buy or sell any specific asset, token, or protocol. It also does not guarantee any specific revenue, trading result, application outcome, network performance, or availability.

Developing and operating Solana applications, trading crypto assets, using on-chain protocols, operating validators, and developing with AI agents involve a wide range of risks, including price volatility risk, smart contract risk, network failure risk, software bugs, changes in external API behavior, and uncertainty in AI agent outputs. Please conduct sufficient research and verification yourself and make decisions at your own responsibility (NFA / DYOR).