Part 1. Analysis of traffic
1.1. Primary functions and features
Incribo focuses on generating high-quality synthetic data for AI model development. The tool emphasizes privacy, cost efficiency, multimodality, unlimited data variations, data ownership, and ready-to-use datasets, targeting a broad range of use cases across different industries. Key features include
- Early access to the app through the Early Access button on their website.
- Generating synthetic data for Voice Synthesis, Audio Segmentation, 3D Human Models, Landscapes & Backgrounds, Image Frames, LLM Localization.
- Provides ready-to-use datasets for various industries.
- Privacy first, cost efficient multimodal, unlimited variations, data ownership, ready-to-use.
1.2. Target users
According to data from Similarweb, the majority of users from October 2023 to December 2023 come from India (54.9%), the USA (15.74%), Canada (11.10%), Portugal (10.48%), and Austria (4.65%). Overall there were less than 5000 visits.
The target audience is supposed to be interested in Computer Electronics and Technology and software development, however there is not enough data to prove or disprove.
1.3. Traffic
The total search visits from October 2023 to December 2023 worldwide was less than 692 (39.48% of total traffic).
There were 2 keywords in total search traffic from October 2023 to December 2023 for incribo.com.
Keywords phrases for October-December 2023 only include ‘incribo’ and ‘incribo inc’.
There is no significant keyword overlap or organic competition noticed.
During October-December 2023, Incribo received incoming traffic from futurepedia.io (based in India, Computers Electronics and Technology industry), topai.tools (based in the USA, Computers Electronics and Technology industry), wellfound.com (based in the USA, Jobs and Employment industry).
1.4. Category Identification
In general, synthetic data is artificially generated information that mimics real-world data, allowing developers and researchers to train machine learning models without compromising privacy or relying on sensitive real-world datasets. This type of data is crucial for enhancing AI models' accuracy and diversity, especially in scenarios where actual data may be scarce or privacy concerns are paramount, as the paper claims.
Incribo.com may be categorized mainly as a research tool, Although, it applies to a wide array of tasks and industries, such as
- Audio: For voice synthesis and audio segmentation.
- Design: In creating landscapes, AR/VR, 3D models.
- Education and Research: Synthetically generated data has been widely used in research, developing and evaluating machine learning pipelines.
- Entertainment: Via gaming and animation support.
- Images and Video: With high-resolution frames and landscape designs.
- Marketing: Through localization of language models.
1.5. Keyword Research
Based on category identification and customer interests let’s check the keywords on ‘AI for research’.
In the ‘AI for research’ category the most popular keywords (which do not include names of celebrities or other products) are the following: ‘ai for research’, ‘ai in research’, ‘ai for researchers’, ‘research into artificial intelligence’, ‘research of artificial intelligence’. All go in the same range of 10K-100K, but it is the best to choose ‘ai for research’ because of YoY growth of +900% and medium level of competition.
Part 2. Tool Review
2.1.Overview
Incribo revolutionizes the creation of synthetic data, offering a platform to develop high-quality, customizable datasets for AI model training.
It caters to a wide range of applications, including voice synthesis, audio segmentation, 3D human models, landscapes, image frames, and language model localization. Incribo stands out by prioritizing privacy, offering cost-effective solutions, supporting multimodal data generation, providing unlimited variations, ensuring data ownership, and delivering ready-to-use datasets. This makes Incribo an ideal choice for businesses and developers seeking to enhance AI capabilities while addressing data privacy concerns.
For pricing information, check company’s Twitter, LinkedIn or register for early access.
2.2. Use cases
There is a wide range of use for a synthetic data generated by Incribo. It is a versatile tool for developers and businesses looking to use synthetic data across diverse domains.
- Researchers can use Incribo for enhancing AI models' accuracy and diversity, especially in scenarios where actual data may be scarce or privacy concerns are paramount, as the paper claims.
- Audio professionals can use Incribo for voice synthesis and audio segmentation.
- Designers can use data provided by Incribo for creating landscapes, AR/VR, 3D models, high-resolution frames, and landscape designs.
- Professionals in entertainment industry can use Incribo via gaming and animation support.
- Marketologists can use Incribo’s data through localization of language models.
Best for: research cases when there is not enough data available or when privacy preservation, cost efficiency, accessibility, and versatility are key considerations.
2.3. FAQ
1) What is Incribo?
Incribo is a platform that specializes in creating high-quality, synthetic datasets for AI model development, focusing on privacy, cost efficiency, and providing a wide range of data variations.
2) How can Incribo's synthetic data be used?
It can be used for voice synthesis, audio segmentation, creating 3D human models, designing landscapes and backgrounds, generating image frames, and localizing language models for various applications including gaming, architecture, and AI automation tool development.
3) What makes Incribo different from other synthetic data providers?
Incribo stands out due to its emphasis on privacy, its cost-effective solutions, its multimodal data capabilities, the provision of unlimited data variations, ensuring data ownership, and offering ready-to-use datasets.
4) Who can benefit from using Incribo?
Developers, researchers, businesses in need of proprietary datasets for AI, and individuals looking for customizable synthetic data for projects spanning education, entertainment, design, and more.
For more detailed information, please visit Incribo's website.
2.4. Pricing & Discounts
For pricing information, register and receive early access at Incribo's website.
2.6. Team & Funding
Incribo is created by Uma Venugopal and Vedant Dubey in Bengaluru, India.
For detailed profiles and insights, visit the page and communities directly.
There is no information on funding of Incribo on official website, LinkedIn, X, as well as the reputable external sources including Crunchbase.
2.7. Alternatives
Those who are looking for AI tools for generating synthetic data can try the following tools:
- K2View: It combines generative AI, rules engine, entity cloning, and data masking to generate realistic and diverse datasets for various use cases.
- MOSTLY AI: This platform allows enterprises across industries to generate high-quality, privacy-preserving synthetic data for AI and machine learning development, testing, and product development.
- Syntho: It provides synthetic data for public healthcare and finance industries, which can be used for training machine learning models, testing applications, and conducting data analysis without compromising privacy or security.
- Gretel: Specifically built to create synthetic data, Gretel is a tool that generates statistically equivalent datasets.
- MDClone, Hazy, Ydata, BizDataX, Sogeti, Tonic: These are other synthetic data generation tools that can be considered.
2.8. How DALL.E envisions Incribo?
