Connect with us

Technology

Stigg 2.0 Decides What Every AI Request Is Allowed to Cost, in Under Five Milliseconds

Published

4 months ago

on

The usage runtime for AI products: Stigg has rebuilt its platform to enforce credits, entitlements, and budgets on every request and to deploy into a customer’s own cloud.

SAN FRANCISCO, June 30, 2026 /PRNewswire/ — Stigg today released Stigg 2.0 at the AI Engineer World’s Fair, a real-time layer that keeps AI usage under control by deciding what every customer, user, team, and AI agent is allowed to do at the moment they try to do it.

AI billing breaks at the request, not the invoice. Older systems assumed the monthly invoice settled the account. In AI, the decision that matters happens the moment a request arrives and the cost is incurred. A single API call can cost dollars, and one agent can spawn sub-agents firing dozens of parallel calls against a shared credit pool, leaving a system single-digit milliseconds to authorize the work or absorb the bill.

The largest AI companies reached this conclusion and built the infrastructure themselves. In February 2026, OpenAI described a “decision waterfall” that synchronously checks rate limits and verifies credits before returning a single outcome, then settles the debit afterward. OpenAI wrote that it had evaluated third-party metering and billing platforms and found them suited to invoicing but unable to make that decision in real time. InfoQ reported the same shift, placing OpenAI’s approach alongside Uber’s move to an infrastructure-level rate limiter.

“We read that post and recognized our own architecture,” said Anton Zagrebelny, Co-Founder and Chief Technology Officer of Stigg. “OpenAI can staff a team to build this. Most companies cannot. You can write a credit counter in a weekend. Two months later it handles a third of the edge cases, and the rest arrive as billing disputes, revenue leakage, and 3 AM pages.”

The pricing shift behind it is broad. AI-native companies are moving off per-seat pricing toward credits and consumption, according to Bessemer Venture Partners, and the share of companies on the PricingSaaS 500 index using credit-based pricing rose 126% in 2025. The exposure lands at the account level. Stigg customers report a single power user exhausting an organization’s entire AI credit allocation in one day.

“Enterprises will not sign six-figure AI contracts without governance,” Zagrebelny said. “They want to know they can cap a runaway agent before it spends fifty thousand dollars on inference. That is an entitlements question, not a billing one.”

Stigg 2.0 treats entitlements, the record of what a customer is actually allowed to use, as infrastructure that sits alongside billing rather than inside it. The release includes a rebuilt credits engine with real-time, zero-overdraft balances; a governance layer that evaluates budgets and limits across any dimension in under five milliseconds; and a metering pipeline that sustains more than one million events per second. A modular bring-your-own-cloud architecture runs any component, the metering pipeline included, inside a customer’s own cloud, so the most sensitive usage data never leaves their infrastructure. A Model Context Protocol server lets AI agents check entitlements and report usage directly. Stigg has also acquired Received.ai for invoicing and contract management and added an Airwallex integration that gives early-stage startups free end-to-end billing.

“Metering is the highest-volume, most sensitive data an AI company holds, every call, every token, every customer’s usage pattern,” said Dor Sasson, Co-Founder and Chief Executive Officer of Stigg. “The industry default has been to ship all of it to a vendor’s cloud and hope the security review passes. That model does not survive enterprise procurement or data-residency requirements. Putting the metering pipeline inside the customer’s own cloud, enforced in real time, is not a deployment option. It is where the category is going.”

Stigg 2.0 is available today, with a free tier that requires no sales call. Documentation and SDKs are at docs.stigg.io.

About Stigg

Stigg is a pricing and entitlements infrastructure company whose real-time layer sits between an application and its billing stack and decides what each customer, user, team, and agent is allowed to do. Founded by Dor Sasson and Anton Zagrebelny, Stigg works alongside existing billing systems to add the credits, entitlements, metering, and governance that AI products need. Stigg is SOC 1 Type 2 certified. Learn more at stigg.io.

Photo – https://mma.prnewswire.com/media/3002479/Stigg.jpg

Media Contact
Mor Levy Gaier, VP Marketing, Morl@stigg.io | stigg.io

View original content to download multimedia:https://www.prnewswire.com/news-releases/stigg-2-0-decides-what-every-ai-request-is-allowed-to-cost-in-under-five-milliseconds-302814528.html

SOURCE Stigg

Related Topics:
Continue Reading

Technology

Genedata Expands AI Discovery Workflows with NVIDIA BioNeMo Open Models, Including the New RFD4-Proteina Release

Published

17 minutes ago

on

October 22, 2026

By

Bringing next-generation binder design models into production discovery

BASEL, Switzerland, Oct. 22, 2026 /PRNewswire/ — Genedata, a Danaher company, and the leading provider of enterprise software solutions for biopharmaceutical R&D, today announced the addition of the new RFD4-Proteina binder design model into Genedata’s AI-enabled discovery workflows, following the model’s introduction at NVIDIA GTC Berlin. As an early ecosystem partner, Genedata is among the first companies to make RFD4-Proteina available within its production discovery workflows. By connecting AI-generated molecular designs, scientific data, and laboratory results, Genedata helps researchers transform AI predictions into continuous learning cycles that accelerate biologics discovery.

The workflow begins with scientists defining target characteristics and required properties using Genedata’s AI co-scientist. NVIDIA’s open protein design models then generate and evaluate candidate binders within Genedata. As candidates move into laboratory testing, results are captured and linked back to the original designs, helping scientists refine and rank the next round.

“Advances in AI are creating unprecedented opportunities for protein and antibody discovery, but unlocking their full value requires more than access to powerful models alone,” said Othmar Pfannes, Ph.D., President of Genedata. “Researchers need a way to connect molecular design, experimental execution, and scientific data into a continuous learning process. Genedata serves as the digital backbone that brings these elements together, helping scientists evaluate more candidates before testing, preserve the scientific context behind each outcome, and build knowledge from one discovery cycle to the next.”

While advances in generative AI are rapidly expanding what scientists can design, many organizations still struggle to operationalize these models within production scientific research workflows. Genedata provides the orchestration, governance, and scientific data foundation needed to deploy NVIDIA BioNeMo open models, including RFD4-Proteina, directly within the discovery workflows scientists use every day. Researchers can apply AI-generated designs within established processes while maintaining lineage, traceability, and scientific context across the discovery lifecycle.

Within Danaher’s autonomous laboratory initiative, these capabilities connect AI, automation, and scientific data in a closed-loop discovery framework where each experimental outcome informs the next design cycle, creating a continuous learn-and-improve process that advances science while keeping scientists in control.

About Genedata
Genedata, a Danaher company and the leading provider of enterprise software solutions for biopharma R&D, transforms biopharma data into intelligence. Our innovative solutions combine deep science, technology, and AI domain knowledge. Leading biopharma organizations and cutting-edge biotechs partner with Genedata to digitalize and automate complex data workflows. Our advanced analytics and embedded AI enable data-driven decisions. From early discovery through development to the clinic, Genedata solutions drive innovation and maximize ROI being trusted by customers worldwide for more than 25 years.

www.genedata.com
LinkedIn | YouTube

About Danaher
Danaher is a leading global life sciences and diagnostics innovator, committed to accelerating the power of science and technology to improve human health. Through our connected ecosystem of industry-leading businesses, we work side by side with customers to solve their most complex scientific and clinical challenges—helping move innovations from discovery to delivery faster for patients who depend on them. Powered by the Danaher Business System, our advanced science and technology and proven ability to innovate help enable faster, more accurate diagnoses and reduce the time, cost, and risk required to discover, develop, and deliver life-changing therapies. Through continuous improvement and operational excellence, our approximately 60,000 associates worldwide are focused on delivering lasting impact and improving quality of life around the world, while building a healthier, more sustainable tomorrow. Explore more at www.danaher.com.

Disclaimer

The statements in this press release that relate to future plans, events or performance are forward-looking statements that involve risks and uncertainties, including risks associated with uncertainties related to contract cancellations, developing risks, competitive factors, uncertainties pertaining to customer orders, demand for products and services, development of markets for the Company’s products and services. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof. The Company undertakes no obligation to release publicly the result of any revisions to these forward-looking statements that may be made to reflect events or circumstances after the date hereof or to reflect the occurrence of unanticipated events.

All product and service names mentioned are the trademarks of their respective companies.

View original content to download multimedia:https://www.prnewswire.com/news-releases/genedata-expands-ai-discovery-workflows-with-nvidia-bionemo-open-models-including-the-new-rfd4-proteina-release-302915726.html

SOURCE Genedata

Continue Reading

Technology

Bybit AI Empowers Users with Their Personal Financial Edge, Adding Personalization and Memory

Published

17 minutes ago

on

October 22, 2026

By

DUBAI, UAE, Oct. 22, 2026 /PRNewswire/ — Bybit, the New Financial Platform trusted by more than 80 million users worldwide, has announced new personalization and memory features for Bybit AI, its in-app intelligent conversational layer. Bybit AI now builds a profile from each user’s assets, positions, behavior and risk profile, connecting wealth, markets and trading across the Bybit ecosystem.

Launched in September, Bybit AI organically unifies Bybit’s core services within a single chat interface. The newly added features extend its capacity from responding to individual requests to maintaining a continuous understanding of the user, giving each user their personal financial edge.

Putting the user at the center, Bybit AI is evolving on three pillars:

Personalized: With permissions granted and limits set, Bybit AI analyzes actual account information, including financial behavior and risk profile alongside assets and positions, to generate outputs tailored to the individual.Connected: Bybit AI links Markets, Trading, Earn, Card and other Bybit products, drawing on the full picture of a user’s holdings and activity rather than a single product.Remembered: Users can proactively share their preferences with Bybit AI, which retains this context through long-term memory so that each conversation builds on the previous one.

The release also introduces Featured, a set of customized entry points for specific use cases. Each entry point offers predefined prompts, such as generating a wealth management plan based on a user’s assets and risk tolerance, and returns structured analysis with key data, clear insights and suggested next steps.

Bybit AI supports main account operations while giving users the option to deploy it within a dedicated Bybit AI sub-account. The AI-powered assistant is built on a security-first architecture. Outputs are provided for informational purposes only and do not constitute investment advice. Instructions are executed in chats only after customer authorizations.

Bybit expects to introduce further updates to Bybit AI as it continues to build toward AI-native financial services, with conversational intelligence positioned as core infrastructure.

To explore Bybit AI and learn more about how it works, users may visit: Bybit AI  – Learn how to use Bybit through conversation.

#Bybit  / #NewFinancialPlatform 

About Bybit

Bybit is The New Financial Platform.

We believe every person should have access to every financial opportunity on earth. That’s why we’re building the first intelligent platform that connects anyone, anywhere to the world’s finance.

Trusted by more than 80 million users worldwide, Bybit brings together investing, trading, payments, and wealth-building in a single secure and intelligent ecosystem. Through the combination of AI-powered technology, deep global liquidity, robust security, and transparent operations, Bybit makes global finance more accessible, efficient, and empowering for everyone.

Built for everyone. Powered by intelligence. Open to the world.

Learn more at Bybit.com.

For more details about Bybit, please visit Bybit Press

For media inquiries, please contact: media@bybit.com

For updates, please follow: Bybit’s Communities and Social Media

Facebook | Instagram | LinkedIn | Reddit | Telegram | TikTok | X | Youtube

View original content to download multimedia:https://www.prnewswire.co.uk/news-releases/bybit-ai-empowers-users-with-their-personal-financial-edge-adding-personalization-and-memory-302916350.html

Continue Reading

Technology

Poq is now a Shopify Certified Technology Partner

Published

17 minutes ago

on

October 22, 2026

By

LONDON, Oct. 22, 2026 /PRNewswire/ —  poq, the native mobile app platform for retail brands, today announced it has been recognised as a Shopify Certified Technology Partner. Shopify’s certification is reserved for app partners that meet Shopify’s standards for quality, security, performance and support. poq is now listed in the Shopify Technology Partner Directory and the Certified Technology Partner App Store Collection, making it easier for enterprise Shopify merchants to find and adopt a proven native app platform.

poq already powers native iOS and Android apps for joint customers including Ardene, Steve Madden UK, e.l.f. Beauty (globally), Horze (pan-European), Mamas & Papas (UK) and ECO. Modern Essentials (ANZ and UK). Across the poq platform, shoppers convert at 1.8 times the rate of mobile web, based on the median across 21 brands from January 2025 to January 2026.

“Certification from Shopify is independent validation that poq meets the high standard Shopify sets for its technology partners,” said Jay Johnston, CEO of poq. “Our customers use their apps to build loyalty and drive repeat purchases from their most valuable shoppers. This recognition means more Shopify merchants can launch a high-performing native app with confidence, on a platform already proven at scale across four continents.”

Results for Shopify Brands

European equestrian retailer Horze moved to Shopify and chose to stay with poq for its native app. “After choosing to continue working together, I can confidently say that this was absolutely the right decision. The level of motivation, ownership, and commitment the poq team demonstrated throughout the project was truly impressive,” said Dominik Schlag, CFO of Horze.

In the UK, Mamas & Papas uses its poq app to make shopping easier for busy parents. “Our poq app makes shopping with us quick and easy wherever they are, and drives loyalty and repeat purchases,” said Jo Molineux, Digital Director at Mamas & Papas.

About poq

poq is a leading Software-as-a-Service (SaaS) platform that empowers retailers and brands to create and maintain engaging, high-performance native mobile apps. With a focus on driving customer engagement and revenue, poq’s platform enables seamless integration, powerful personalisation, and an enhanced shopping experience for businesses worldwide. Learn more at poqcommerce.com.

Media contact
Emma Williams, Marketing Lead
emma.williams@poqcommerce.com  

View original content to download multimedia:https://www.prnewswire.com/news-releases/poq-is-now-a-shopify-certified-technology-partner-302915873.html

SOURCE Poq

Continue Reading

Trending