AI-native tax platform for returns, planning, and professional workflows
Instead built a full-stack tax platform on modern web infrastructure (Vue/Nuxt frontend, Go/Python backend, PostgreSQL) with multiple LLM integrations (OpenAI, Gemini, Claude 3.5 Sonnet) wired through Langchain. The tech choices and active projects reveal a company executing aggressively on AI-assisted tax return analysis and strategy implementation while scaling infrastructure for production inference workloads — a sign they're moving beyond proof-of-concept into multi-client live deployments. Hiring velocity is accelerating across engineering and leadership roles despite just 51–200 headcount.
Instead is an AI-native tax platform launched in 2023 that centralizes tax work for businesses, individuals, and tax professionals in a single system. The platform bundles research, planning, tax strategy, workpaper generation, filing prep, and IRS response handling, powered by AI agents with mandatory human review and sign-off by tax professionals. For users, it surfaces filing requirements, estimates, savings opportunities, and proactive planning; for professionals, it converts client context into structured workflows and return documents. Instead operates from San Francisco and is hiring in India as part of its global scaling strategy.
Frontend: Vue, Nuxt, TypeScript, Tailwind CSS. Backend: Go, Python. Infrastructure: AWS (ECS, RDS, IAM, CloudFormation), Docker, Kubernetes, Terraform. AI/ML: Langchain, Helicone, OpenAI API, Gemini, Claude 3.5 Sonnet. Development tools: Cursor, Windsurf, Figma.
Active projects include AI tax return analysis, full-stack product feature shipment for live customers, production-level inference infrastructure, internal platform tools, tax strategy implementation across clients, platform design, and global talent acquisition strategy.
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.