Strata Maker has launched a Pons volume bot built to solve the first problem every new launch runs into: a token that nobody can see. The service routes real buy and sell orders into a Pons token’s own liquidity pool on Robinhood Chain, lifting the pair on the screeners and charts so that ordinary traders browsing the launchpad actually notice it. It is available now at www.stratamaker.com.

Tokens minted on the Pons launchpad often sit with a flat chart in their first hours, and a flat chart reads as dead to anyone who lands on the pair. Strata Maker is aimed squarely at that window. Rather than posting numbers to a dashboard, it places genuine swaps into the token’s live pool on Robinhood Chain, so the activity shows up on-chain and in the aggregators where discovery actually happens.

What the tool does not ask for is as much the point as what it does. Running a campaign involves a single signed transfer to cover the fee, and nothing else. There is no token approval, no spending allowance, and no contract call against the user’s token, which is the specific reason the tool cannot touch a creator’s supply. Users connect a standard EVM wallet such as MetaMask, Coinbase Wallet, Trust or Rainbow, sign once, and the run begins.

The volume itself is carried by a rotating fleet of funded maker wallets, up to several thousand in a single run. Each wallet touches the pair only a handful of times before it retires for good, so an address that appears in one campaign never shows up in another. Combined with timing drawn from a shaped distribution and order sizes that never repeat, the result is a tape that reads like genuine trading rather than a bot firing on a fixed interval. Because the record of how the volume arrived is the part anyone reviewing a pair actually looks at, that realism is treated as a core feature, not a finishing touch.

Every fill lands in the token’s own pool from the first order to the last, with no wrapper, no mirror and no stand-in venue. When a run closes, Strata Maker reconciles the delivered volume against Blockscout, the chain’s own explorer, so the figure it reports and the figure a user can count on-chain are the same. If a run ever lands short of the target that was paid for, the difference is returned to the paying wallet automatically, without a support ticket.

Setup is deliberately minimal. There is no account to create and no dashboard tree to learn. A user pastes a token contract, and Strata Maker reads the name, symbol, supply and pool address straight off the chain rather than depending on a third-party index. The engine confirms the token was minted on Pons, prices the run live as the user moves the sliders, and takes a single transfer when the configuration is set. The pricing is a flat one percent of the volume routed, paid once before anything starts, with a minimum run of 10 ETH and windows that range from two hours to three days.

The service is scoped to a single launchpad on purpose. Because the engine only has to understand Pons, its venue resolution and pacing are tuned to how Pons tokens behave rather than generalised across chains, and it declines any token that was not minted on Pons instead of handling it poorly. It is a purpose-built piece of volume infrastructure, not a catch-all tool wearing a Pons label.

Strata Maker is also plain about the boundary of what routed volume can do. It moves a pair up the screeners, the trending lists and the charts people scan, which is exactly the attention a fresh Pons launch lacks. It does not manufacture buyers, and the company states as much on its own site. The honest use of the tool is to get a real launch seen, on top of a token that gives people a reason to stay once they arrive. Strata Maker notes that it is an independent tool, not affiliated with or endorsed by Pons, Ponsfamily or Robinhood Markets, and that nothing it publishes is financial advice.

Strata Maker is available now at www.stratamaker.com, where a run is priced in front of the user before any transfer is made.

Media Contact

Organization: Strata Maker

Contact Person: Clementine Lehner

Website: https://www.stratamaker.com/

Email: Send Email

Country: United States

Release id: 48951

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Hadera, Israel, September 8th, 2026, TechnologyWire

The new context layer connects to existing SQL databases and builds a governed, model-agnostic foundation for AI agents running on live operational data, in weeks rather than years.

RavenDB, a NoSQL document database used by more than 12,000 customers, today announced the launch of its new product, Quill, a context layer for SQL databases that makes them ready for production AI agents without migrating the system of record or architecting a custom AI stack. 

With AI becoming a board-level mandate, CTOs and VPs of engineering are under pressure to ship AI capabilities fast. But for organizations whose mission-critical data sits in legacy SQL systems, built years before embeddings or agents existed, AI can’t access their data. Modernizing or replacing the systems is expensive, risky, and time-consuming. By the time the system is updated, nobody remembers what the project was supposed to achieve or how ROI was measured.

Recently, a Gartner survey of infrastructure and operations leaders found that one in five AI initiatives fail, and only 28% report a positive ROI, which is linked to how well the technology is integrated, governed, and aligned with operational needs, not to the sophistication of the model. As AI becomes the industry standard, organizations have been left without a clear path to deliver, until now. 

“Anyone can stand up an AI demo in an afternoon, but getting that demo into production with data pipelines, semantic search, security, governance, all the plumbing a small proof of concept doesn’t need until it has to run at scale, is the hard part,” said Oren Eini, founder and CEO of RavenDB. “Quill exists because we’d rather hand teams that plumbing already assembled than watch them rebuild the same project after project. You get access to the live data you need, decide the scope on day one, and change it as you go, instead of building everything from scratch.” 

Quill connects directly to an organization’s existing SQL database and puts a context layer on top of it, making it possible to launch production-ready agents in weeks rather than the 18 to 24 months of a typical in-house build. The source system stays exactly where it is and remains authoritative, and the full AI stack, search, retrieval, and agents that can answer questions, are included. Agents built on Quill support web chat, WhatsApp, Telegram, Slack, and Discord out of the box.

“With Quill, the plumbing was already there, so we spent our time building the actual feature,” said Hagay Albo, CEO at Albos Technologies and Holdings, an early adopter of Quill. 

By default, Quill is governed, sitting between the AI and the source system, and it is built on the assumption that the model itself cannot be trusted with unrestricted access, so organizations decide exactly what an agent can and cannot see, independent of the source database’s own permissions. In a healthcare setting, for example, an agent can answer a patient’s question about an upcoming appointment, while prescription data is never part of the dataset it can query. What is usually a custom security project becomes a configuration choice. Quill is also model-agnostic, so teams can use any AI model, switch providers, or run entirely on their own hardware. 

Quill is now available for organizations running PostgreSQL, SQL Server, or MySQL, with more databases to be supported in the future, and can be deployed in the cloud or on-premises to meet data-residency or regulatory requirements. 

To start using Quill today, visit: https://ravendb.net/quill

About RavenDB:

RavenDB is a hybrid NoSQL document database built for modern application development. Used by more than 12,000 customers across 50 industries, RavenDB helps teams move faster with seamless data management across cloud, on-prem, and edge environments. With full-text search, automatic indexes, and an easy-to-use studio for monitoring and administration, RavenDB is the database developers love and enterprises trust.

Learn more at www.ravendb.net

Contact

Shahni Ben-Haim
SBH Media Relations
shahni@sbhmedia.com