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Business Problems We Solve
- Automation of internal processes.
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- Training staff, developing custom courses for business needs
- Integrating AI into client work, automating first lines of contact

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100% of clients report increased productivity and reduced operational costs.

AI Customer Support
Enhance your customer support with our AI-powered assistant. It uses artificial intelligence to analyze documents, contracts, and previous interactions, reducing response times and providing personalized support. Empower your team, improve customer satisfaction.

AI Document Assistant
Unlock valuable insights and make data-driven decisions with our AI Insights Suite. We index all your documents and data. Get smart decision support with our AI-driven solution. It indexes documents, offers valuable insights, and assists in making informed choices, saving you time and boosting productivity.

AI Scrum Bot
Streamline your agile project management with our AI Scrum Bot. This intelligent assistant helps teams by answering questions, facilitating backlog management, and organizing retrospectives. Powered by artificial intelligence, it enhances collaboration, efficiency, and productivity in your scrum process.

AI Sales Bot
AI Sales Bot – your new teammate that never sleeps! It converses with customers in fully natural language across all channels, answers questions round the clock, and learns from your sales materials to keep conversations insightful and engaging. Itβs your next step towards simplified, efficient, and enhanced customer interactions and sales processes.

Custom AI Solutions for Your Business
We specialize in crafting unique AI applications to meet your specific needs. Whether it’s machine learning or natural language processing, we’ve got the right AI solution to help you achieve your business goals.
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AI Automation of Business
For businesses looking to reduce costs and implement AI independently
In-Depth Analysis of Business Processes
AI Strategy Development
Selection of Solutions and Training for Your Team
$49 per hour
Budget savings through independent AI implementation

Dedicated AI Team
Custom development for those striving for the best
Team of 5 AI Experts, Personalized Approach
Up to 10 AI Variations and Scenarios
Integration with Business Solutions
$199 per hour
More than 50% savings compared to maintaining your own team
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2026-05-01 AI News Digest: Agentic UI Standards Advance as Moonshot AI Open-Sources FlashKDA
2026-05-01 AI News Digest: Agentic UI Standards Advance as Moonshot AI Open-Sources FlashKDA 2026-05-01 AI News Digest: Agentic UI Standards Advance as Moonshot AI Open-Sources FlashKDA Agentic UI Protocol and A2UI Specifications Detailed in Comprehensive Tutorial A detailed tutorial published by MarkTechPost provides a complete implementation of the Agentic UI (AG-UI) protocol and Google’s A2UI…
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2026-04-28 AI News Digest: Specialized AI Models Advance Across Domains as Researchers Chase Better Reasoning
Reinforcement Learning Agent Learns to Retrieve Long-Term Memories for Better LLM Reasoning Researchers have developed a reinforcement learning-driven agent that improves how language models access relevant information from long-term memory banks. Rather than relying solely on embedding similarity searches, the agent uses PPO algorithm to learn retrieval policies that outperform baseline approaches. The system…
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2026-04-27 AI News Digest: Beyond Vectors: AI Reasoning Benchmarks and a New Retrieval Method That Thinks Like Humans
Top 7 Benchmarks That Actually Matter for Agentic Reasoning in Large Language Models As AI agents move from research demos to production deployments, evaluating their true capabilities requires specialized benchmarks. This article highlights seven key benchmarks: SWE-bench Verified for real-world software engineering, GAIA for general-purpose assistant tasks, WebArena for autonomous web navigation, Ο-bench for reliability…
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2026-04-26 AI News Digest: Voice AI Breakthrough, Vision Models Unite, Long-Context LLMs Surge, and Coding Agents Get Structural Awareness
April 26, 2026 AI News Digest: Voice AI Breakthrough, Vision Models Unite, Long-Context LLMs Surge, and Coding Agents Get Structural Awareness xAI Launches grok-voice-think-fast-1.0: Topping Ο-voice Bench at 67.3%, Outperforming Gemini, GPT Realtime, and More xAI has released grok-voice-think-fast-1.0, a flagship voice model designed for complex, ambiguous, multi-step workflows across customer support, sales, and enterprise…
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2026-04-25 AI News Digest: Breakthroughs in Long-Context Models and Resilient AI Training
April 25, 2026 AI News Digest: Breakthroughs in Long-Context Models and Resilient AI Training DeepSeek AI Releases DeepSeek-V4: Compressed Sparse Attention and Heavily Compressed Attention Enable One-Million-Token Contexts DeepSeek-AI has released preview versions of the DeepSeek-V4 series, consisting of two Mixture-of-Experts (MoE) language models designed to make one-million-token context windows practical and affordable. The DeepSeek-V4-Pro…
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2026-04-23 AI News Digest: AI Agents, Qwen Models, and ml-intern: April’s Top AI Releases
CAMEL Framework Releases Production-Grade Multi-Agent System Tutorial The CAMEL team published a detailed tutorial demonstrating how to build a production-grade multi-agent system using their framework. The system orchestrates specialized agents (planner, researcher, writer, critic, rewriter) with structured communication through Pydantic schemas, integrating web search tools, self-consistency sampling, and iterative critique-driven refinement for robust technical brief…
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2026-04-22 AI News Digest: From Kimi K2.6 with Long-Horizon Coding to OpenMythos
AI News Digest – 2026-04-22 Google Introduces Simula: A Reasoning-First Framework for Generating Controllable, Scalable Synthetic Datasets Across Specialized AI Domains Researchers from Google and EPFL present Simula, a framework that generates synthetic data from first principles using taxonomies, meta-prompts, and dual critics to control quality, diversity, and complexity. The approach shows improved downstream model…
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“Streamline AI Development with Moonshot AI’s Kosong LLM Abstraction Layer”
Understanding the Target Audience The launch of Moonshot AI’s Kosong specifically targets software developers, data scientists, and AI engineers. These professionals are deeply involved in creating modern agent applications and are already familiar with machine learning and natural language processing. They seek efficient solutions to integrate various tools and models into their applications seamlessly, without…
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Revolutionizing GUI Interaction: Gelato-30B-A3B Grounding Model Explained for AI Developers
Researchers from ML Foundations have recently unveiled Gelato-30B-A3B, an advanced grounding model aimed at improving AI agents’ abilities to locate and interact with specific elements on graphical user interfaces (GUIs) using natural language instructions. This innovative model, trained on the Click 100k dataset, shows remarkable improvements in accuracy compared to its predecessors, such as GTA1-32B…
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Kosmos: The AI Scientist Revolutionizing Data-Driven Research
Understanding Kosmos: The Autonomous AI Scientist Kosmos, created by Edison Scientific, is revolutionizing the way scientific research is conducted. This autonomous discovery system is designed to run extensive research campaigns focused on a single goal. By taking a dataset and an open-ended natural language query, Kosmos performs iterative cycles of data analysis, literature searches, and…
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Build Neural Memory Agents: A Coding Guide for Data Scientists and AI Researchers
Understanding Neural Memory Agents Neural memory agents represent a significant advancement in artificial intelligence, particularly in the realm of continual learning. They are designed to learn and adapt over time, retaining valuable knowledge while also acquiring new skills. This capability is particularly important for applications in dynamic environments where the ability to learn from new…
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Mastering LLM Text Generation Strategies for Business Success
Understanding Text Generation Strategies When prompting a large language model (LLM), itβs essential to grasp how these models generate text, as they do so progressively, one token at a time. At every step, the model analyzes the previous context to predict what the next token should be. However, it requires a clearly defined strategy to…
Unified by Technology
Our teams are a diverse group of talented individuals working remotely from different corners of the world. With members proficient in seven languages, we value and embrace diversity. However, what truly unites us is our shared passion for the language of modern technology. We come together to collaborate, innovate, and harness the power of cutting-edge technology to create exceptional solutions.
