AI-agent tax platform for businesses, individuals and tax professionals
Instead builds an AI-native tax workspace pairing AI agents with professional review across planning, workpapers and filing. Its stack runs multiple model providers (OpenAI, Claude 3.5 Sonnet, Gemini) behind Langchain and Helicone observability on a Go, Vue/Nuxt and AWS ECS/Kubernetes base, pointing to production LLM inference as core infrastructure. Accelerating hiring concentrated in India mixes engineering with finance roles, suggesting tax-delivery capacity is scaling offshore.
Instead is a privately held company founded in 2023 and headquartered in San Francisco, California, with 51–200 employees. It offers a single system where businesses, individual taxpayers and tax professionals handle tax research, planning, documentation, return preparation, filing and IRS correspondence. Businesses use it to organize documents, identify savings, estimate payments and prepare returns. Tax professionals use it to convert client information into reviewable workpapers, plans and reports, keeping human sign-off on AI-generated work.
Instead uses Go, Python, TypeScript, Vue and Nuxt, PostgreSQL, Docker, Kubernetes and Terraform on AWS (ECS, RDS), plus OpenAI, Claude 3.5 Sonnet, Gemini, Langchain and Helicone for AI.
Instead's current hiring is in India, with hiring accelerating across engineering, finance, design and HR at mid, senior, manager and director levels.
Instead is building AI tax return analysis, production LLM inference and prompt-engineering infrastructure, full-stack features for its live customer platform, and internal productivity tooling.
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Instead's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.