

Tony Simonovsky brings extensive expertise in developing and deploying large language model solutions across enterprise, start-up and research environments. His consulting work focuses on optimizing LLM performance, fine-tuning models for domain-specific applications, and implementing scalable AI infrastructure. With a strong foundation in data architecture and natural language processing, he guides organizations in integrating advanced language models responsibly and efficiently to support decision-making, automation, and analytics initiatives.
Tony spent years in the agency space solving bottlenecks for clients across data analytics and start-up consulting. One of his core realizations across this time period was that the agency model is broken, often creating deeper costs and more inefficiency for the client. He took this insight and transitioned into direct consulting + implementation, with the goal of accelerating delivery and overall clarity for the clients that he works with.
"Tony was super informative and knowledgeable about everything, truly loved working with him!”

"I hired Tony to develop an AI app for my business. I will continue working with him in the future and can comfortably say that he’s better than 99% of developers i’ve worked with in the past.”

"Tony was an amazing AI app developer from start to finish. He understood exactly what we were trying to build, always available to communicate, and took the initiative to suggest and test different ways to build the MVP to ensure we got what we were looking for."

My work with outlier ventures, and across dozens of start-ups as an owner or advisor has provided me with a well rounded perspective that I bring into every consulting project that I'm involved in.
I advise companies on how to leverage prompting strategies to drive greater efficiency across all areas of business, with a specific, tangible impact across software engineering, data analysis, advertising, and technical operations.
Currently developing a customizable agent for twitter and telegram through the SIA framework.
My current focus is on the development of SIA, a cutting edge framework for automating social media actions based on high frequency data inputs.
Tony Simonovsky provides specialized services in developing and fine‑tuning large language models to meet organizational requirements. This includes adapting pre‑trained models to specific datasets, optimizing inference for accuracy and latency, and aligning model outputs with business objectives. His approach ensures each model is efficient, contextually aware, and compliant with enterprise data and privacy standards.


This service focuses on designing autonomous AI agents capable of reasoning, planning, and executing multi‑step tasks within defined operational boundaries. Tony helps clients architect agents that integrate with APIs, databases, and internal systems, enabling seamless automation across communication, analysis, and decision‑making workflows.
Tony builds structured retrieval systems and vector databases that enhance AI agents with real‑time contextual understanding. By combining retrieval‑augmented generation (RAG) with domain‑specific embeddings, he enables agents to access verified data sources and produce responses grounded in factual, organization‑owned knowledge.


This service group emphasizes rigorous testing and continuous optimization of model performance. Tony applies systematic evaluation pipelines to assess accuracy, factual consistency, robustness, and interpretability. Advanced monitoring tools and feedback loops ensure deployed systems maintain reliability at scale and adapt effectively to evolving data patterns.
Tony advises organizations on implementing governance frameworks that ensure AI agents operate ethically, safely, and transparently. His services cover compliance with emerging AI regulations, bias auditing, and establishing human‑in‑the‑loop oversight mechanisms. The goal is to align technical advancement with accountability and public trust.

Seamlessly connect your AI agent to existing communication platforms and workflows. Our solutions ensure your tools are instantly accessible through Slack, Discord, or team chat, with minimal configuration required for rapid deployment and value capture.
Empower your teams with custom AI agents that automate repetitive tasks and complex analyses. Using intuitive dashboards and actionable visualizations, our agents streamline processes and surface insights, freeing your staff for higher‑impact work.
Built for growth, my AI architecture delivers reliable performance—even as your data volumes and user demands increase. Robust infrastructure and scalable models ensure your business stays competitive and agile without compromising speed or accuracy.
Automate routine operations with our AI agents that handle scheduling, data entry, and repetitive workflows efficiently. This delivers consistent speed and accuracy, reducing manual workload and allowing your team to focus on strategic initiatives.
Provide instant answers and support through conversational AI agents trained to understand nuanced requests. Whether users seek information or solutions, the system responds reliably, improving satisfaction and reducing wait times.
Leverage proprietary knowledge bases and custom-trained models designed for your sector. Our agents access authoritative data sources, ensuring reliable and context-aware responses tailored to your organizational needs.

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We are ready to answer your questions and explore possibilities for implementation.
Reach out by email to outline your current bottlenecks and discuss opportunities for AI-acceleration.
Direct communication with a member of our team to discuss how we can help address your needs.
Get in touch to request a meeting. Upon reviewing your project details and reason for connecting, I will allocate time accordingly.
Originally from Russia, a world traveler and long time digital nomad, I now spend my days living and working on the beautiful island of Bali.
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