Hefring Marine Raises $2.56M Seed Funding

Wingback (YC W22)

Wingback provides tools and APIs for SaaS pricing and packaging. We build infrastructure that allows SaaS startups to deploy any set of features of their product with any pricing model. Using Wingback, non-technical teams run pricing and packaging tests and execute product-led growth campaigns without any engineering involvement.

SimplicityDX

SimplicityDX is an AI-powered influencer commerce platform that bridges the gap between social media and ecommerce, helping brands drive up to 9× more traffic and 3× more revenue to their online stores. Our automated influencer landing pages, powered by agentic AI, engage customers across the full marketing funnel - top, middle, and bottom - by combining social content, product discovery, and brand storytelling. This approach delivers lower bounce rates, higher Average Order values and conversions rates, leading to up to 3× higher revenues for ecommerce brands. SimplicityDX offers out-of-the-box integrations with leading Influencer Marketing Platforms, Affiliate Networks, and ecommerce platforms, making implementation fast and frictionless. Brands can easily onboard creators and influencers and launch campaigns in as little as four hours. Founded by a privately funded team of digital commerce and influencer marketing veterans, SimplicityDX operates in the U.S. and U.K. markets, helping brands scale influencer-driven revenue with speed and simplicity. Learn more at www.SimplicityDX.com or connect with us on LinkedIn.

scnd

scnd reinvents the way people buy and sell services online by developing a marketplace software. Capable of addressing commoditized (simple) and uncommoditized (complex) services, scnd offers native calendaring features (when are the services available), geolocation and geofencing (where are the services available), and Vendor Management features (with whom are the services available). Our customers can operate their own marketplace, including KYC/KYB, escrowing, payin and payouts, and can easily operate the platform internationally with support for multiple languages and currencies. Some of our notable customers include Accor, Allianz, Intersport, Siemens Energy, and Suez.

DBtune

Since our founding in 2020, our dedicated team of engineers and Ph.D. researchers have been on a mission to revolutionize cloud and database systems using Artificial Intelligence and Machine Learning. DBtune's core technology is a fully automated service designed to optimize databases. Our optimizer, based on machine learning, tailors each optimization to the specific customer workload and hardware in use. This approach leads to improved key performance indicators, making the process of database tuning more efficient and scalable across hundreds of instances. By utilizing DBtune, users enhance their databases' performance while significantly reducing cloud costs and environmental impact. We have garnered support from institutional and angel investors in the EU and the US, along with pre-seed funding from the Knut and Alice Wallenberg Foundation (KAW). With a growing customer base, DBtune is poised to expand its influence even further, scaling our operations to bring AI-driven database optimization to a broader audience.

Inceptron

At Inceptron, we’re on a mission to make AI more efficient, accessible, and scalable—across any hardware, framework, or deployment environment. To do that, we’ve built a powerful optimization compiler that helps teams get the most out of their models, whether they’re training LLMs, deploying diffusion models, or running inference at the edge or cloud. Our roots are in ML research, with experience from top AI labs and infrastructure companies. We know what it takes to turn models into production—and we’ve built the tooling to do it fast, lean, and reliably, from compression and quantization to kernel-level runtime synthesis. Customers work with Inceptron to cut inference latency, compress and quantize models at their accuracy budgets, and optimize across GPUs, CPUs, and accelerators like AWS Inferentia or FPGAs. Our compiler automates passes like shift-based reparameterization, mixed-precision optimization, memory and cache tuning, and workload-specific search for end-to-end performance. We support a wide range of deployment setups—from hybrid clouds and VPCs to open-source model integrations. What makes us different? We combine automated benchmarking, compile-time profiling, and accuracy-preserving or use-case-tuned optimization into a modular system that meets real-world demands. Whether you’re training, tuning, or scaling, we plug in exactly where you need us—with white-glove support and deep engineering expertise to back it.