Co-founder & CTO at Tely.health
United States
Askhat
Bilyalov
Council Member
Askhat Bilyalov is the Co-founder and CTO of Tely.health, an engineer and founder who has built AI agents and LLM systems and led engineering teams across four companies, starting his first at age 16. Technical ownership has been his from the start at every company, from the first line of code to the architecture that carried each product to production load.
Since 2023, he has designed and built the AI platform at Tely.health from scratch and has been responsible for all of its development. The company gives AI assistants such as ChatGPT, Perplexity and Google's AI answers a way to find specialty clinics, check insurance and book patients, and it serves as a patient acquisition platform for clinics across 51 specialties. Tely.health now has 50+ paying clinics, $599K in ARR, 27% monthly growth and positive cash flow. One eye surgery group received 422 bookings and about $1.5M in expected revenue through the platform, growing from 1 to 6 locations. The company raised a $770K pre-seed from Alchemist, AltaIR, DVC, Mento and Sarah Smith Fund, and he went through Alchemist Accelerator Batch 34. He architected the platform in three layers. The Opportunity Engine studies a client's entire business, scores each recommendation by the revenue it could bring, verifies the outcomes, and is being built as the base for a System One decision model. A self-improving virtual clinic agent serves as each clinic's second face in the world of AI agents, and the Tely Growth Engine turns the company's human processes into automated, deterministic ones. The AI layer breaks work into hundreds of small typed decisions, each with its own prompt version and golden test set, and has produced more than 100M AI decisions with traces. He also created the Clinic Access Protocol, an open Apache 2.0 standard built on FHIR R4 that lets any AI assistant find a clinic, verify insurance and book a patient. It ships with SDKs in 9 languages. For his own engineering team, he built Octopus, a fleet of 25+ AI agents that handles CI/CD, production errors, Kubernetes health, testing, security and code review, and calls a person in Slack only for hard decisions. Tely.health is the third company he has built with the same co-founders, and a previous marketing and software company they ran, with 300+ clients including Pfizer and J&J, was sold.
From 2022 to 2023, he was Chief Engineering Officer at Ace (Vectorly), an HR tech platform. He led a team of 5 and shipped the MVP of an AI copilot for engineering leaders in 6 months. His team built an AI performance tracker using GitHub, Jira, Slack and Asana data, which was used by 150+ engineering organizations. A graph-based skill gap engine raised team productivity by about 40%, and a copilot that flags burnout risk and prepares 1-on-1s cut managers' preparation time by about 45%. The platform ran at 99.9% uptime on AWS Lambda with no P1 incidents in 12 months, served clients including Tinkoff, Rostelecom, Otkritie and Ak Bars Bank, and the company raised about $800K.
Since 2023, he has designed and built the AI platform at Tely.health from scratch and has been responsible for all of its development. The company gives AI assistants such as ChatGPT, Perplexity and Google's AI answers a way to find specialty clinics, check insurance and book patients, and it serves as a patient acquisition platform for clinics across 51 specialties. Tely.health now has 50+ paying clinics, $599K in ARR, 27% monthly growth and positive cash flow. One eye surgery group received 422 bookings and about $1.5M in expected revenue through the platform, growing from 1 to 6 locations. The company raised a $770K pre-seed from Alchemist, AltaIR, DVC, Mento and Sarah Smith Fund, and he went through Alchemist Accelerator Batch 34. He architected the platform in three layers. The Opportunity Engine studies a client's entire business, scores each recommendation by the revenue it could bring, verifies the outcomes, and is being built as the base for a System One decision model. A self-improving virtual clinic agent serves as each clinic's second face in the world of AI agents, and the Tely Growth Engine turns the company's human processes into automated, deterministic ones. The AI layer breaks work into hundreds of small typed decisions, each with its own prompt version and golden test set, and has produced more than 100M AI decisions with traces. He also created the Clinic Access Protocol, an open Apache 2.0 standard built on FHIR R4 that lets any AI assistant find a clinic, verify insurance and book a patient. It ships with SDKs in 9 languages. For his own engineering team, he built Octopus, a fleet of 25+ AI agents that handles CI/CD, production errors, Kubernetes health, testing, security and code review, and calls a person in Slack only for hard decisions. Tely.health is the third company he has built with the same co-founders, and a previous marketing and software company they ran, with 300+ clients including Pfizer and J&J, was sold.
From 2022 to 2023, he was Chief Engineering Officer at Ace (Vectorly), an HR tech platform. He led a team of 5 and shipped the MVP of an AI copilot for engineering leaders in 6 months. His team built an AI performance tracker using GitHub, Jira, Slack and Asana data, which was used by 150+ engineering organizations. A graph-based skill gap engine raised team productivity by about 40%, and a copilot that flags burnout risk and prepares 1-on-1s cut managers' preparation time by about 45%. The platform ran at 99.9% uptime on AWS Lambda with no P1 incidents in 12 months, served clients including Tinkoff, Rostelecom, Otkritie and Ak Bars Bank, and the company raised about $800K.
From 2018 to 2021, he worked at Picasel, first as Head of Backend and then as VP of Engineering. There he built AI systems for business intelligence, advertising campaign optimization and automated customer support for Samsung, Mars, Pfizer, Philips and Royal Canin. He also created an internal CRM that raised sales productivity by about 30% and a marketplace aggregator built on the Alibaba and 1688 APIs. Over the same period, the company's revenue grew from 4.9 to 31 million rubles. The stack included Python, Node.js, Docker Swarm and TensorFlow. From 2015 to 2018, he worked as an engineer on systems for quasi-government organizations, medical institutions and analytics services.
His first startup was FastCallManager, which he co-founded and led as CTO from 2013 to 2015, beginning at age 16. He grew it into a real-time callback product, with a web widget and a mobile app, that passed hot leads to sales teams in about 11 seconds without IP telephony. At 18, the company placed in the top 7 of 345 teams in the TECHNATION startup program, and the team incorporated in the US as Linky Technologies Inc.
In research and publications, he is a co-author of a registered computer program from 2021, created during his work at Vectorly. Beyond that, his recognition includes the TECHNATION result and his place in Alchemist Accelerator's Batch 34. Askhat Bilyalov holds a bachelor's degree in information systems from the Ekibastuz Engineering and Technical Institute named after Academician K. Satpaev.
His technical expertise covers multi-agent LLM systems, MCP and A2A for agent tooling, LLM evaluation, tracing and fine-tuning, knowledge graphs, entity resolution and embeddings. He works in Python (8 years, including FastAPI), Node.js and TypeScript (7 years, including Bun and Hono), and Go, with Next.js and React on the front end. His data stack includes MongoDB, PostgreSQL, LanceDB and Neo4j, and he builds on GCP with Kubernetes, Argo CD, GitLab CI/CD and Temporal, as well as on AWS.
His first startup was FastCallManager, which he co-founded and led as CTO from 2013 to 2015, beginning at age 16. He grew it into a real-time callback product, with a web widget and a mobile app, that passed hot leads to sales teams in about 11 seconds without IP telephony. At 18, the company placed in the top 7 of 345 teams in the TECHNATION startup program, and the team incorporated in the US as Linky Technologies Inc.
In research and publications, he is a co-author of a registered computer program from 2021, created during his work at Vectorly. Beyond that, his recognition includes the TECHNATION result and his place in Alchemist Accelerator's Batch 34. Askhat Bilyalov holds a bachelor's degree in information systems from the Ekibastuz Engineering and Technical Institute named after Academician K. Satpaev.
His technical expertise covers multi-agent LLM systems, MCP and A2A for agent tooling, LLM evaluation, tracing and fine-tuning, knowledge graphs, entity resolution and embeddings. He works in Python (8 years, including FastAPI), Node.js and TypeScript (7 years, including Bun and Hono), and Go, with Next.js and React on the front end. His data stack includes MongoDB, PostgreSQL, LanceDB and Neo4j, and he builds on GCP with Kubernetes, Argo CD, GitLab CI/CD and Temporal, as well as on AWS.