Press Release
Strata Maker Launches a Pons Volume Bot to Get Pons Launchpad Tokens Noticed
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
The post Strata Maker Launches a Pons Volume Bot to Get Pons Launchpad Tokens Noticed appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
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Press Release
Crown Care NEMT Launches Nationwide Private Pay Medical Transportation with Two-Hour Booking Confirmation
Crown Care NEMT has launched private pay non-emergency medical transportation across all 50 states, with online booking, two-hour confirmation, and wheelchair, stretcher and long-distance interstate service available without Medicaid or insurance authorization.
FL, FL, United States, 10th Sep 2026, Grand Newswire – Crown Care NEMT today announced the nationwide availability of its private pay non-emergency medical transportation service, now operating across all 50 states with an online booking system that returns confirmed vehicle and driver details within two business hours.
The service operates entirely outside the Medicaid and insurance billing model. Patients and families book directly, receive a quote before the ride is confirmed, and are not required to obtain prior authorization or work through a transportation broker. Bookings are submitted through a three-step online form or by phone, and a coordinator responds with vehicle assignment, driver name, license plate and a direct dispatcher line.

Non-emergency medical transportation covers scheduled trips that do not require an ambulance: dialysis appointments, chemotherapy sessions, hospital discharges, outpatient procedures, specialist follow-ups and long-distance transfers between medical facilities. The private pay segment of this market serves patients who do not qualify for Medicaid transportation benefits, patients whose plans do not cover the trip type they need, and families coordinating care for a relative in another state.
“Families arranging medical transportation are usually doing it during an already difficult week,” said CEO Mario Lee of Crown Care NEMT. “The two-hour confirmation standard exists because a patient with a dialysis appointment on Thursday cannot wait until Wednesday night to learn whether a vehicle is coming. Removing the authorization step is what makes that timeline possible.”
Crown Care NEMT operates four vehicle categories: ambulatory sedans and SUVs for patients who can transfer independently, wheelchair-accessible vans with hydraulic lifts and securement systems, stretcher transport for patients who must remain recumbent, and long-distance interstate service for transfers to specialty medical centers. All service is door-to-door, with drivers assisting patients between the residence entrance and the vehicle.
The company reports that long-distance interstate transport represents a growing portion of its bookings, driven by patients traveling to nationally ranked specialty centers including facilities in Rochester, Minnesota; Cleveland, Ohio; Houston, Texas; and Baltimore, Maryland. These trips typically fall outside standard Medicaid transportation coverage, which is generally limited to in-state travel to the nearest qualified provider.
Alongside statewide coverage, Crown Care NEMT has published city-level service information for metropolitan areas including Chicago, Minneapolis, Indianapolis and Detroit, listing local hospital systems and the vehicle types available in each market.
Service is available 24 hours a day, seven days a week. Same-day rides are frequently available in major metropolitan areas. Patients receive a firm quote before any ride is confirmed, and booking information is not shared with brokers or third parties.
Booking and coverage details are available at crowncarenemt.com. Reservations can also be made by phone at +1 518 666 6222.
About Crown Care NEMT
Crown Care NEMT is a private pay non-emergency medical transportation provider operating in all 50 states. The company provides ambulatory, wheelchair-accessible, stretcher and long-distance interstate medical transport on a direct-pay basis, without Medicaid or insurance billing. More information is available at https://crowncarenemt.com.
Media Contact
Organization: Crown Care NEMT
Contact
Person: Mario Lee
Website:
https://crowncarenemt.com
Email:
info@crowncarenemt.com
City: FL
State: FL
Country:United States
The post Crown Care NEMT Launches Nationwide Private Pay Medical Transportation with Two-Hour Booking Confirmation
appeared first on Grand Newswire.
It is provided by a third-party content provider. Grand Newswire makes no
warranties or representations in connection with it.
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Press Release
AI Labs Integrates Google’s Gemini into AIV Chatbot to Launch Next-Generation Investment Analytics Platform
SINGAPORE – 10/09/2026 – (SeaPRwire) – Singapore-based AI Labs, a subsidiary of Web3 education pioneer Academic Labs, today announced that it has integrated Google’s Gemini AI into its flagship AIV Chatbot.
The upgrade positions AIV as an advanced, structured investment analytics tool designed to simplify research across cryptocurrencies like Bitcoin and Ether, as well as tech giants including Nvidia and SpaceX. AIV allows users to ask simple questions about assets such as Bitcoin and Ether, as well as technology companies such as Nvidia and SpaceX. It then organizes responses around market outlook, technical analysis, fundamentals and risk, presenting the results in a format resembling a concise research note rather than simply generating “buy” or “sell” signals.
The approach is intended to give users a more structured way of thinking about investment decisions.
AIV is able to break an investment portfolio down into different sources of risk and return, distinguish between established assets and higher-growth exposures, and examine how seemingly different investments may become correlated during periods of market stress.
For technology equities, the same framework can be used to distinguish between areas such as AI infrastructure, cloud computing and consumer platforms, while setting out the main upside and downside cases.
The analytics platform is also designed to go beyond identifying potential returns. AIV can frame an investment thesis in terms of the assumptions on which it depends and highlight the conditions that would challenge those assumptions. Key price levels, changes in fundamentals or other “invalidation” scenarios can therefore provide investors with a clearer indication of when an investment view should be reconsidered.
Google’s Gemini is central to the platform’s potential. Google’s AI models can work across text, images, video, audio and code, while connecting with current information and interacting with external tools.
Applied to AIV, these capabilities will allow the Chatbot to analyze earnings releases, retrieve market data, examine charts and tokenomics documents, calculate portfolio exposures, and explain the results in a conversational format that is easy to understand.
Over time, as the technology matures, Gemini could enable investors to upload financial documents or charts for analysis, compare risks across assets, and identify developments that challenge an existing investment thesis. This would move the Chatbot closer to becoming an interactive investment research assistant.
“Investors are surrounded by a wealth of information, but information on its own does not create clarity,” said Ryan Chi, CEO and founder. “AIV is being built to help users connect the signals that actually matter.”
Kingston Kwek, an advisor to AIV, said the key objective is to make sophisticated investment analytics traditionally associated with professional investors more accessible to a broader audience by tapping Gemini’s extensive analytical capabilities, especially since Gemini has achieved global adoption with hundreds of millions of users worldwide.
If AIV can pair Gemini’s ability to summarize and organize information with transparent sources, clear risk controls and plain-language explanations, it could become a powerful research tool for investors navigating the growing overlap between crypto, artificial intelligence and technology equities.
Media Contact
Company: AI Labs
Contact: Media Team
Email: ryan@academic-labs.org
Website: https://ai-labs.live/
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
RavenDB Launches Quill to Bring Production AI Agents to Enterprise SQL Systems, No Migration Required
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
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
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