Wrapper startups are sometimes riskier to launch because they can lack control over their core engine and rely on non-proprietary data. Not all so called wrapper startup are risky investments some are promising assets.
While AI models have become the engine of modern business, proprietary data is the fuel. Your Business ultimate competitive moat maybe found in its proprietary data.
A valuation of an AI SaaS involves metrics that may not be comparable to those of past exits, mergers, and acquisitions. So, careful due diligence is necessary to obtain accurate information and determine the actual value of an AI SaaS.
5 Hidden Realities of Valuing A Business in The AI Era.
Agentic AI Agents are making real progress in building and integrating AI that acts within business and participate in workflows instead of just conversations.
An LLM research paper, titled “Artificial or Just Artful? explores the tension between pretraining objectives and alignment constraints in Large Language Models (LLMs). The researchers specifically investigated how models adapt their strategies when exposed to test cases from the BigCodeBench (Hard) dataset.
Shopify is an Ecommerce platform built to help you start, grow, and manage your business all while boosting conversion rates by 15%
What do you need to know to get the best possible business exit? Four surprising, hard-won truths that separate the successful exits from the cautionary tales.
The Model Context Protocol provides a universal, standardized communication layer that eliminates the need for custom-coded integrations for each data source by allowing any AI model to seamlessly connect with any data source,
Google grounds AI agents in real enterprise data. Transforming AI agents from tools into indispensable, data-aware partners that can take concrete action directly within the development workflow.
Google Workspace is an investment in a central operating system for your business, one that can secure your data, automate unique processes, and turn feedback into fuel for growth.
In any organisation, fragmented workflows are a liability on your business. Google Workspace eliminates this by solving the fragmentation that plagues modern software productivity collaboration. With Gemini’s AI capabilities, Workspace becomes a powerful tool for unifying teams productivity.
RAGRecon, a system to improve Cyber Threat Intelligence through the integration of Large Language Models and Retrieval-Augmented Generation.
Network Solutions is rolling out a major 265% Black Friday sale on All their business tools and webservices.
DRAFT-RL is a evaluation framework fort LLMs designed to address critical limitations in LLM-based reasoning systems by integrating Chain-of-Draft (CoD) reasoning with multi-agent reinforcement learning.
An AI Media giant seek buyer of 90% of their entertainment and media technology company.
The Language Model Council research suggests that the top spot on any given leaderboard might be an artifact of evaluation design rather than a reflection of superior, generalized capability.
Humanity’s Last Exam is a multi-modal case study designed to measure the capabilities of large language models.
DeepRails presents an opportunity to acquire its AI SaaS company with a defensive AI technology, that prevents AI hallucinations.
Exoskeleton Reasoning is a process that inserts a directed validation scaffold into A language model’s workflow before it responds.
A new research paper from Humains-Junior language model reportedly matches the factual accuracy of GPT-4o on a specific public subset. According to the paper the Humains-Junior language model achieves this performance through an innovative method called “Exoskeleton Reasoning.”
A Small Language Model can be as Accurate as a Large Language Model with evaluation methods and frameworks. Methods like Exoskeleton Reasoning, Completeness, and Correctness, and using an LLM as a judge.
A GenAI LLM evaluation engine and integrated API platform presents a opportunity to aquire its assets.
LLM-as-a-Judge is a critical tool for anyone building LLM and AI applications. It offers a consistent approach to evaluating large language models. It captures what truly matters: quality, safety, and accuracy.
Completeness and Corrective Guardrail Metric is an engineered solution by DeepRails. It is designed to measure how well an AI response addresses the entirety of a user’s question. Not only does this ensure it is not just accurate, but truly useful.
