ABACUS.AI (Formerly known as RealityEngines.AI) is a developer of Enterprise AI Systems, Generative AI Technology and AI/ML platforms for various applications such as Predictive Analytics, Anomaly Detection, Personalization, etc.
The Company uses AI Super Assistants, Machine Learning Operations, Applied AI Research to help businesses become more efficient.
AI platform with significant Venture Funding and operational activities but with very limited information available about its User Base and Reviews.
The Founders of RealityEngines.AI were Bindu Reddy, Arvind Sundararajan and Siddartha Naidu in San Francisco.
Raised $13M in Series A funding and was renamed from RealityEngines.AI to Abacus.AI.
Cloud-based SaaS platform
Generative AI, predictive modeling, recommender systems, anomaly detection, NLP, vision AI, and real-time deep learning for enterprises
Inferred from product descriptions in research sources; specific tech details not disclosed
Abacus.ai offers a single platform for developing professional assistants using ChatLLM and developing your own custom AI systems with its Enterprise tools. The company creates solutions such as workflow development, forecasting, and personalization with deep agent automation in an easy to use interface.
The free Chatllm tier from abacus.ai is available, while pro plans begin at approximately $49/ user per month, with custom pricing on the Enterprise level. Usage-based pricing will be used for compute intensive services that require custom model development and/or large scale inference.
While other platforms provide only models, abacus.ai allows customers to build their entire applied AI solutions, which can include no code workflows, enterprise agents, forecasting, personalization and specific industry solutions by combining one or more of the worlds leading LLM's (GPT-4O, Claude, LLaMA) along with business focused tools.
Yes, enterprise version of Abacus.ai complies with SOC 2 standards and uses encryption for both at rest and transit. Additionally, the customer can choose from several private cloud deployments and has options for customer data isolation and no training on user data.
Yes, Abacus.ai supports webhooks, REST APIs and native integrations with several platforms (gmail, slack, github, stripe, etc.) and databases. In cases where there is no API, Deep Agent will handle browser automation.
All three tiers have comprehensive documentation and interactive tutorials along with enterprise support. Customers who are on the free tier have access to community forums while those who are on paid tiers have access to a dedicated technical account manager.
Yes, the free tier of Chatllm provides full access to the core features of abacus.ai, with generous limits. Enterprise trials can also be arranged on a case-by-case basis with the assistance of a POC (proof of concept) team for deployment.
The free tier of Chatllm has compute and api call limits. The cost associated with developing custom models will be based on the amount of data provided to develop the model. Custom models developed using the abacus.ai platform will likely require some degree of configuration to meet highly specialized vertical ai needs.
Abacus.ai offers its users the most complete set of enterprise-class AI capabilities that include generative AI agents, predictive modeling, personalization, and industry solution sets. Abacus.ai is uniquely positioned in terms of delivering production-ready AI to large organizations who do not have the internal engineering resources to develop their own AI capabilities. The Abacus.ai platform combines leading edge AI capabilities with practical business applications.
Abacus.ai is well-positioned to serve as an enterprise-level AI operating system for teams that are looking to take advantage of applied AI across forecasting, personalization, agent and workflow applications.
Abacus.ai is positioned as a complete AI platform that provides access to multiple frontier models via ChatLLM with Enterprise solutions for applied AI which include DeepAgent automation, forecasting, personalization, anomaly detection, and industry-specific tooling. The Abacus.ai platform focuses on deploying AI into production, no-code workflows and business outcomes versus pure research capabilities. Enterprise-class focus with webhooks, APIs, and SOC 2 compliant.
Good - comprehensive information from official website and documentation. Limited public details on exact pricing tiers, rate limits, and customer case studies (typical for enterprise AI). No revenue figures available (private company).
Abacus AI has a self-building DeepAgent that will build fully functional applications including multi-page web sites with Stripe payment functionality, RAG chatbot building from PDFs/web sites, fitness app development, telegram bot development, and end-to-end testing framework development. The DeepAgent can perform the complex work flows of browser automation, API call, and database operation.
ChatLLM provides a unified interface to GPT-4o, GPT-o1, Claude 3.5 Sonnet/Haiku, Llama 3, and custom models. ChatLLM also provides a variety of functions including document analysis, code generation/editing, image generation, and voice capability in one interface.
Tailored AI solutions are available for sales pipeline automation, social media content generation, financial modeling, crypto analysis, logistics benchmarking, and customer sentiment analysis. Raw data is converted into executive ready insight/dashboards for decision makers.
Cloud-based deployments using webhook integration, private instances for enterprises, and an API-first architecture support the Abacus AI solution set. Additionally, automated retraining for personalization models and real-time inference capabilities are supported by the Abacus AI solution set.
Vision AI supports the process of creating images for computer vision model training as well as image annotation. Language AI supports the following AI related functions including sentiment analysis, natural language processing search, text extraction, and enterprise chatbots with RAG functionality.
Automatically generate and select new features
Use AI to determine which algorithm is best suited for your project
Optimize the model parameters automatically
Create a combination or stack of multiple models
Optimize deep learning models
Provide interpretability tools for your models
Process data in real time and schedule bulk scoring
Provide low latency REST endpoints and AI agents
Process data in real time
Available on AWS marketplace and supports kubernetes
Auto-scale inference
Supports AWS and cloud agnostic platforms
