Top 10 Mpg Alternatives & Competitors

Looking for alternatives or competitors to Mpg? Other important factors to consider when researching alternatives to Mpg include reliability and ease of use. The best overall Mpg alternative is Miro. Other similar apps like Mpg are Alteryx, Algolia, Relay.app, and Agentio. Mpg alternatives can be found in Emerging AI Software but may also be in Visual Collaboration Platforms or Analytics Platforms.

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Best Paid & Free Alternatives to Mpg

Miro
Alteryx
Algolia
Relay.app
Agentio
Cequence Security
Replenit
Leo

Top 10 Alternatives to Mpg Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Mpg stacks up to the competition and find the best product for your business.

Miro

By Miro

4.7/5

(12,197)

Product Description

Miro is an Innovation Workspace built to accelerate product development from insight to execution. Designed for teams operating in fast-moving, cross-functional environments, Miro brings together research, planning, prototyping, and strategy into one visual, collaborative space. Miro supports every phase of the product development lifecycle — from early discovery and journey mapping to sprint planning, design reviews, and scaled Agile workshops. And with AI features like clustering, summarization, and Sidekicks embedded directly into the canvas, teams can synthesize feedback, generate product briefs, and align on roadmaps in a fraction of the time. Two-way Jira integration and customizable Agile templates make it easy to manage end-to-end workflows, while supporting rituals like sprint planning, daily standups, and retrospectives. Whether you’re mapping product strategy or testing early prototypes, Miro helps teams collapse planning steps and drive innovation faster — all within a secure, flexible workspace.

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By Alteryx

Product Description

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By Algolia SAS

Product Description

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Emerging AI Software

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Agentio

By Agentio

4.9/5

(66)

Product Description

Find and engage new customers with Agentio, the ad platform for creator content. Agentio simplifies creator-led advertising by making it easy to buy ad reads from top YouTube creators. You can manage your campaigns effortlessly, ensuring you reach your target audience with engaging, authentic content. Drive higher conversions and sales while benefiting from direct integration with creators who resonate with your brand. - Identify conversions driven by creator content on Agentio - Track conversion revenue to measure return on ad spend (ROAS) - Evaluate campaign results and adjust strategies for higher conversions

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Product Description

Cequence is a pioneer in API security and bot management, making the applications and APIs that organizations depend on AI-ready while protecting them from attacks, business logic abuse, and fraud. Our unique solutions unlock the promise of agentic AI productivity while providing real-time security against increasingly subtle and sophisticated threats. Cequence delivers value in minutes rather than days or weeks with a highly scalable, no-code, no-risk approach. Trusted by the largest and most demanding private and public sector organizations, Cequence protects more than 10 billion daily API interactions and 4 billion user accounts. The company is led by industry veterans that previously held leadership positions at Palo Alto Networks and Symantec.

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By Replenit

Product Description

Replenit revolutionizes customer retention with its AI-driven replenishment and repeat purchase reminder solution, designed to increase conversion rates and foster loyal, repeat customers. Using advanced Retention AI, Replenit analyzes purchase patterns and delivers personalized replenishment reminders through email, SMS, app push, and WhatsApp, ensuring customers never run out of their favorite products.

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By Leo AI

Product Description

Leo is the AI built for mechanical engineers - trusted by 50,000 engineers including teams at Onshape by PTC, Elbit Systems, Zutacore, ERC Systems, and more. Engineers use Leo to get accurate technical answers in seconds, instantly find parts from PLM and supplier databases, generate new concepts, and solve complex calculations - cutting weeks of work into minutes. From accelerating product design to uncovering ideas you wouldn’t think of otherwise, Leo helps you leverage your organization’s data, boost innovation, and design with confidence.

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Product Description

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By NVIDIA

Product Description

Megatron-LM is an advanced framework developed by NVIDIA for training large-scale transformer-based language models. It is designed to efficiently handle models with hundreds of billions of parameters by leveraging both model and data parallelism. Key Features and Functionality: - Scalability: Supports training models ranging from 2 billion to 462 billion parameters across thousands of GPUs, achieving up to 47% Model FLOP Utilization (MFU) on H100 clusters. - Parallelism Techniques: Employs tensor parallelism, pipeline parallelism, and data parallelism to distribute computations effectively, enabling efficient training of massive models. - Mixed Precision Training: Supports FP16, BF16, and FP8 mixed precision training to enhance performance and reduce memory usage. - Advanced Optimizations: Incorporates features like FlashAttention for faster attention computation and activation checkpointing to manage memory efficiently during training. - Model Support: Provides pre-configured training scripts for various models, including GPT, LLaMA, DeepSeek, and Qwen, facilitating quick experimentation and deployment. Primary Value and Problem Solving: Megatron-LM addresses the challenges associated with training extremely large language models by offering a scalable and efficient framework. Its advanced parallelism strategies and performance optimizations enable researchers and developers to train state-of-the-art models on large datasets without compromising on speed or resource utilization. This capability is crucial for advancing natural language processing applications and developing more sophisticated AI systems.

Categories in common with Mpg:

Emerging AI Software