Artemis raised a seed round in April 2022, with investors including Pear VC, Alameda Research, Blue Pool Capital, Mirana Ventures, and Fika Ventures. Total disclosed funding stands at $2M.

Artemis is a cross-asset investment research terminal for analysts, fund managers, and independent investors comparing crypto protocols, stablecoins, fintech equities, and public tech companies side by side in a single workspace.

The core workflow centers on the Terminal, where users land on asset or sector pages and pull standardized metrics across different asset classes. A hedge fund analyst might compare Ethereum, Solana, and Avalanche on protocol revenue and active users, then compare Coinbase, Robinhood, and Kraken on quarterly earnings and valuation multiples, without switching tools or reconciling different data definitions.

Stablecoins are one of the most developed parts of the product. Artemis tracks over 130 stablecoins across 18-plus chains, with views by token, exchange, region, and use case. The platform filters out MEV and intra-exchange transfers to surface adjusted economic activity, and works directly with issuers to improve metric accuracy, giving payments companies and stablecoin issuers a way to benchmark adoption and monitor competitor supply that generic on-chain dashboards do not support.

For spreadsheet-based workflows, Artemis offers a CapIQ-style plugin for Google Sheets and Excel. Using a formula like `=ART()`, users can pull live blockchain metrics or equity financials directly into a model or comp sheet. The same data is available through REST API, Python SDK, and Snowflake data share for teams that want to route it into their own internal stack.

The newest layer is Artemis Analyst, an AI research assistant launched publicly in August 2026. Users can ask a natural-language question and receive written analysis, the underlying SQL, and generated charts, sourced from Artemis's proprietary datasets, which now include consensus estimates, private company financials, U.S. prediction market data, stablecoin payment volume, podcast data, and partner datasets from Sacra and Fiscal.ai. The system exposes its sources and SQL so users can verify the basis for any number.

Artemis sells through a tiered subscription model with a free entry point, a $100-per-month self-serve Investor plan, and an institutional Managing Director plan starting at $50,000 per year. Enterprise accounts get unlimited dashboards, custom data requests, API and Snowflake access, and dedicated research support. Protocol and stablecoin issuers are sold through a separate sales-led track.

Its monetization model is hybrid: seat-based at the entry level and consumption-weighted at the top. Sheets and Analyst usage is capped by monthly query allowances on lower tiers, while enterprise accounts get unlimited access. Revenue therefore scales with how deeply a team embeds Artemis into its workflow, not just with seat count.

The cost structure is heavier than typical SaaS. Artemis licenses data from third-party providers including CoinGecko, Dune, Flipside, and QuickNode, and runs a data engineering team to normalize and maintain those pipelines. The $2M annual data and compute spend is a fixed cost that creates operating leverage once the same underlying dataset powers Terminal, Sheets, API, Snowflake, and Analyst.

Go-to-market is blended. Institutional sales targets high-ACV accounts, while research publishing, free dashboards, and the public Analyst product serve as top-of-funnel for self-serve users who can upgrade over time. Expansion within accounts tends to follow workflow adoption: a fund starts with Terminal access, adds Sheets for its analysts, connects API for its quant team, and eventually moves to Snowflake, raising switching costs as Artemis becomes standardized across multiple workflows.

Artemis competes across several categories: crypto fundamentals terminals, stablecoin data infrastructure, spreadsheet-native analytics, and AI-assisted equity research. No single competitor covers all of those surfaces, but each category includes credible alternatives.

Token Terminal is the closest like-for-like rival, offering standardized on-chain financials, a Sheets plugin, API, a data room, and MCP-based agent access across 100-plus blockchains and close to 1,000 applications. The overlap with Artemis is direct: both sell a CapIQ-style workflow for crypto analysts and deliver data through spreadsheets and APIs, and both now offer AI-native interfaces.

Artemis differs through a larger push into stablecoins, fintech equities, and cross-asset comps, while Token Terminal remains focused more narrowly on crypto network and application metrics. Messari competes on institutional breadth, with an API spanning market data, on-chain data, news, fundraising, research, and stablecoins, plus an AI Copilot and Deep Research product. Messari moved toward a more enterprise-only model in 2026, which creates room for Artemis at the mid-market, though Messari's document corpus and research depth remain an advantage for large institutions.

Allium is the most important threat on the stablecoin and enterprise data infrastructure flank, powering the Visa Onchain Analytics Dashboard and selling an enterprise blockchain data platform for analytics, engineering, and accounting teams. Where Artemis sells to analysts and research desks, Allium sells to data and product teams building internal applications or public dashboards.

If stablecoin issuers and payment networks decide they want underlying data infrastructure rather than an analyst-facing terminal, Allium is positioned to win that budget. Dune is both a supplier and a substitute. Artemis's Sheets product can pull Dune data directly, embedding Dune in the Artemis workflow, but for sophisticated teams comfortable writing SQL, Dune's community ecosystem and deep table access can absorb much of the research workflow before a curated terminal is needed. Dune's February 2026 launch of a first-class stablecoin analytics product across 38 chains, including address classification, moves it closer to Artemis's core differentiation.

The August 2026 pivot into AI-assisted equity research puts Artemis into competition with Fiscal.ai, which it also partners with for Analyst datasets. Fiscal.ai covers global financial data, KPI and segment data, IR content, consensus estimates, and AI summaries, and claims over 350,000 investors served.

Koyfin competes on price and workflow for multi-asset public-market research, covering equities, ETFs, fixed income, crypto, and macro at up to $299 per month, and can undercut Artemis on price and familiarity for users who primarily want public-market charting and screening with some crypto exposure. AlphaSense represents the enterprise ceiling in document-heavy AI research, with deep corporate transcript coverage and enterprise adoption that Artemis is unlikely to displace for buyers who value document corpus depth over crypto-native data.

Artemis's core expansion logic is that the same investor who once bought only tokens now holds crypto equities, fintech stocks, private company secondaries, and prediction market positions alongside them. That shifts Artemis from a crypto data product toward a cross-asset investment intelligence platform with a larger addressable market.

The August 2026 launch of Artemis Analyst is the most immediate TAM expansion, shifting the product from data access to decision support and giving Artemis a way to charge for interpretation and workflow acceleration, not just raw metrics.

The Analyst product already incorporates 20-plus proprietary datasets including private company financials, consensus estimates, U.S. prediction market data, and stablecoin payment volume. As the product matures, Artemis aims for an investor to express a thesis, have Analyst build the model and set a price target, then have the system monitor the position and flag when conditions for a trade are met, connected to brokerage execution layers via MCP. That would move Artemis closer to the point where investors decide what to buy and when to sell, which carries more value than a data terminal alone.

Brokerages like Robinhood and Coinbase are opening MCP-based agent access, and platforms like Composer have already shown demand for rules-based investing automation. Artemis's bet is that conviction-building, rather than execution, is the bottleneck, and that controlling the research and thesis layer makes the brokerage layer more interchangeable.

Stablecoin supply tracked by Artemis crossed $315 billion in August 2026, and the use cases driving that growth, cross-border payments, treasury management, merchant settlement, and offshore dollarization, require more detailed instrumentation than generic on-chain dashboards provide.

Artemis already tracks 130-plus stablecoins with regional, exchange, and use-case breakdowns, and collaborates directly with issuers on methodology. That creates a path to deeper monetization through issuer reserve analytics, corridor-level cross-border flow data, and benchmarking products for payment processors and fintechs that need to understand where stablecoin adoption is occurring versus where activity is noise.

Customers like Visa, Circle, and Tether using Artemis for stablecoin intelligence indicate demand. The expansion opportunity is to move from serving research desks at those organizations to serving product and strategy teams, shifting Artemis from analyst-seat revenue toward larger enterprise data contracts.

Artemis's longer-term ambition is to build an investing network where retail investors, independent analysts, and institutions share theses, models, and track records in one place, analogous to Seeking Alpha with a higher-quality supply side, where hedge fund analysts and independent researchers publish buy-side-quality work and retail investors can follow or co-invest.

Once verified track records and published theses live on the platform, the research can also function as distribution. Prediction markets add another input: Artemis already tracks venues including Polymarket, Kalshi, CME, ForecastEx, and Hyperliquid, and can surface market-implied probabilities as inputs into equity or token research. As hedge funds increasingly use prediction market signals to hedge around earnings or FDA decisions, Artemis can become a place where those signals are synthesized alongside traditional fundamentals.

Token market cyclicality: Artemis built its institutional customer base serving liquid token funds, and although it is expanding into equities and private markets, a prolonged crypto bear market could reduce the research budgets and headcounts of its highest-ACV customers faster than new cross-asset revenue streams can offset that decline.

Platform disintermediation: As Robinhood, Coinbase, and Kraken race to own the investing interface by bundling AI research, social feeds, and agent-based execution into their brokerage products, Artemis risks being pushed toward a lower-margin data supplier role unless its proprietary stablecoin datasets and cross-asset analyst UX remain superior to what brokerages can build or acquire.

Focus dilution: Artemis is expanding across crypto fundamentals, stablecoin infrastructure, equity research, prediction markets, private company data, AI agents, and a retail investor network, and the June 2026 deprecation of application metrics tied to a migration toward equities coverage indicates that this breadth already requires resource tradeoffs that could leave it outcompeted in each category by more focused rivals.