InferenceAI is a modular, enterprise-ready AI agent designed to transform how organizations operate, decide, and scale.
By acting as an intelligent assistant across departments, InferenceAI automates workflows, generates contextual insights, and empowers teams to focus on strategic outcomes.
More than just a chatbot—it’s the enterprise brain that connects data, processes, and people through an AI-native operating layer designed to embed intelligence into the core of enterprise architecture.
Unlike traditional systems that depend on static workflows, dashboards, and siloed data models, InferenceAI introduces a dynamic, adaptive, and self-improving layer that functions across all enterprise domains.
Enterprises are facing:
What’s needed is an intelligent layer that learns, reasons, integrates with systems, and interacts with users naturally.
InferenceAI is a cognitive AI agent platform that acts as an enterprise-wide assistant, understanding natural language, performing tasks, and generating insights in real time.
Features:
Data Understanding: Interprets documents, tables, databases, and APIs.
Enterprise Integration: Connects to CRMs, ERPs, HRMS, SCMs, and more.
Multi-Agent Support: Deploy agents per department or function.
Explainable AI: Transparent and traceable recommendations.
InferenceAI delivers a suite of powerful capabilities designed to streamline enterprise operations:
Document Automation: Auto-generates templates, extracts and reuses content, summarizes documents, and translates jargon.
Workflow Coordination: Routes tasks, integrates with BPM tools, maintains dashboards, and optimizes workflows.
Report Generation: Builds dynamic reports from multiple sources, exports in various formats, embeds real-time insights.
Decision Support: Runs scenario analysis, aggregates insights, visualizes outcomes, and provides recommendations.
Knowledge Retrieval: Contextual search and Q&A across corporate memory, semantic search, highlights sources.
Compliance Auditing: Automates audits, detects compliance gaps, tracks versioning, generates audit trails.
Intelligent Notifications: Proactively alerts users with actionable insights, deadlines, reminders, and risk warnings.
For supporting Axiobit’s innovation venture in the field of specialized services for low carbon economy transition, the staff is focusing on two main research topics:fuzzy data processing and intelligent business processes.
Research efforts focused on innovation play a crucial role in fostering competitive advantage, sustainability, and scalability in rapidly evolving markets. By integrating fuzzy data processing and intelligent business processes (IBP) into their operations, Axiobit’s staff enhances data-driven decision-making, optimize resource allocation, and improve adaptability in uncertain environments such as Low carbon economy services operate. AI-driven business process automation allows us to streamline workflows, reduce operational inefficiencies, and accelerate product development cycles. Furthermore, leveraging predictive analytics and process mining helps these firms identify emerging market trends, optimize supply chain logistics, and implement lean, low-carbon business models. Such research-driven innovations enable startups to scale efficiently, reduce costs, and drive sustainable growth, ensuring long-term success in increasingly digital and eco-conscious markets.
Fuzzy data processing helps in dealing with uncertainties in environmental data, energy consumption patterns, and carbon emissions modeling. By applying fuzzy logic and AI, businesses can make more precise sustainability decisions, such as optimizing energy use in smart grids, improving resource allocation in supply chains, and enhancing climate risk assessments.
This approach enables more effective carbon footprint monitoring, ensuring that businesses can transition toward greener operations with data-driven, intelligent decision-making frameworks.
Similarly, intelligent business processes (IBP) integrate AI, automation, and predictive analytics to streamline operations while minimizing environmental impact.
Through process mining and robotic process automation (RPA), companies can identify carbon-intensive workflows, optimize energy usage, and transition to more sustainable business models. AI-driven decision support systems can help industries implement circular economy practices, reducing waste and emissions. By leveraging real-time data analysis, adaptive workflows, and human-AI collaboration, IBP contributes directly to a low-carbon economy by enhancing energy efficiency, reducing resource waste, and supporting compliance with environmental policies.
This integration of AI-driven automation and sustainability leads to smarter, more eco-friendly business operations, accelerating the shift to a carbon-neutral future.
Our services are not limited to certain industries, however, there are significant differences in the type of challenges and solutions that various industries are facing in remaining relevant in the low carbon economy. Therefore, industry-specialized services and knowledge are required.
Our focus on low carbon economy has directed us towards industries that either are prone to generate carbon offsets through their own nature, such as agriculture, or to industries that are among the highest polluters and must up their game to remain competitive form both financially and sustainably, such as oil and gas industry, or manufacturing.
With a PhD in management and Certified ESG analyst (CESGA), George is a senior consultant, serial entrepreneur and author, specialized in digital transformation and decision management solutions, and sustainability strategies, with more than 350 BPM & software implementations.
Cristina is a senior consultant and entrepreneur, a certified ESG analyst (CESGA), and MBA. She specializes in process optimization, digital transformation and product development, with more than 120 projects of processes redesign and software implementations.
Senior Product Manager with more than 10 years of experience in managing multidisciplinary teams and more than 200 B2B and B2C digital projects.
Senior graphic designer specialized in visual arts and design of community-type business platforms, with more than 8 years of experience in international projects.
