Iterative.ai is a developer tools company for machine learning engineers, best known as the creator of DVC (Data Version Control), an open-source Git extension for versioning datasets and ML models, along with CML.dev for continuous machine learning and DVC Studio for experiment tracking. Founded in 2018 by Dmitry Petrov and Ivan Shcheklein, the company built one of the most widely adopted open-source MLOps toolchains, with more than 20 million DVC downloads and 18,000+ GitHub stars across its projects. Iterative raised a $20M Series A in 2021 led by 468 Capital with participation from True Ventures and Afore Capital, building on a prior $4.5M seed. In 2024 the founders shifted focus to a new project, DataChain, an open-source framework for processing and curating unstructured data for AI and LLM workloads. In November 2025, lakeFS (Treeverse) acquired the DVC open-source project from Iterative.ai, taking over stewardship and active development of DVC while the Iterative team continued to focus on DataChain.
Company data and valuation marks are estimates and may be incomplete, stale, erroneous, or revised.
Founded
2018
Employees
11–50
Total Funding
$23.85M
2 rounds
Total raised $23.85M across 2 rounds
Funding data and valuation marks are estimates and may be incomplete, stale, erroneous, or revised.
Last updated 06-25-2026
Latest Round
Type
Series A
Date
June 2, 2021
Amount
$20M
Valuation
—
Lead Investors
| Date | Round | Amount Raised | Valuation | Lead Investors |
|---|---|---|---|---|
| June 2, 2021 | Series A | $20M | — | 468 Capital |
| September 16, 2019 | Seed | $3.85M | — | True Ventures |
Dmitry Petrov
Co-Founder & CEO
Ivan Shcheklein
Co-Founder & CTO
Competitor list is illustrative and may be incomplete, stale, or erroneous.
Weights & Biases
MLOps platform for experiment tracking, model versioning, and team collaboration on ML projects; acquired by CoreWeave in 2025.
ClearML
End-to-end open-source MLOps platform covering experiment tracking, data management, orchestration, and model deployment.
Neptune.ai
Experiment tracker and model registry for ML teams focused on metadata management and reproducibility.
MLflow (Databricks)
Open-source platform for managing the ML lifecycle including experiment tracking, model registry, and deployment; stewarded by Databricks.
Comet ML
Experiment tracking and model production monitoring platform for machine learning teams.
lakeFS (Treeverse)
Git-like data version control over object stores for petabyte-scale data lakes; acquired the DVC open-source project from Iterative in 2025.
No. Iterative.ai is a private company and does not have a public stock ticker or trade on a public stock exchange. Its shares are generally held by founders, employees, investors, and other private shareholders. Buyers and sellers may be able to transact in Iterative.ai shares through private secondary transactions, but any transaction depends on share availability, buyer and seller agreement, transfer restrictions, company approval rights, and any applicable right of first refusal. There is no guarantee that Iterative.ai will complete an IPO or other liquidity event.
Yes, it is sometimes possible to buy Iterative.ai shares pre-IPO through private secondary transactions. This depends on finding a willing seller, company approval, and satisfying any transfer restrictions or rights of first refusal.
Buyers interested in buying Iterative.ai shares on the secondary market typically do so through SetterVC and other secondary-market platforms, subject to eligibility requirements, share availability, transfer restrictions, and issuer approval. Buyers may need to satisfy sophistication, accreditation, institutional, platform, regulatory, or other eligibility requirements before participating. Once eligible, buyers may be able to view listings, make bids, and work with a licensed broker through the transaction process. Buyers should ensure they have appropriate legal and financial advisors guiding them before completing any transaction.
Iterative.ai's latest disclosed funding round was a Series A round in June 2, 2021. The round raised approximately $20M, with 468 Capital listed as disclosed lead or major investors. Primary funding rounds are different from secondary transactions: in a primary round, capital goes to the company, while in a secondary transaction, investors buy existing shares from current shareholders. Funding-round data reflects publicly reported or collected information and may be incomplete.
Iterative.ai has raised approximately $23.85M in disclosed funding across 2 rounds. These figures reflect primary capital raised by the company and do not include every possible secondary transaction, undisclosed round, debt facility, or private transfer. Reported funding totals can change as new rounds are announced or older round details are corrected. Eligible users can use SetterVC to track Iterative.ai's funding history alongside private-market activity where available.
Iterative.ai's disclosed investors include 468 Capital and True Ventures. Investor lists are based on public reporting, company announcements, and collected funding-round data, and may be incomplete. Participation in a prior funding round does not mean those investors are currently buying or selling shares. On SetterVC, eligible users can review Iterative.ai's funding history, valuation history, and private-market activity alongside other venture-backed companies.
Iterative.ai's most-cited competitors include Weights & Biases, ClearML, Neptune.ai, MLflow (Databricks), Comet ML and lakeFS (Treeverse). Investors often compare these companies by sector, product focus, valuation, funding raised, growth signals, investor base, and private-market activity.
Secondary-market demand for Iterative.ai shares can be affected by company performance, revenue growth, profitability, funding history, valuation, investor interest, sector momentum, public-market conditions, expected timing of a liquidity event, and the availability of shares for sale. Demand can also be affected by transfer restrictions, company approval rights, right of first refusal processes, limited information, and the price expectations of buyers and sellers. Strong demand does not guarantee strong pricing, liquidity, or investment returns. Weak demand does not necessarily reflect the company's long-term prospects. Demand signals should not be treated as a recommendation or prediction of investment performance. Buyers and sellers should treat demand signals as informational and conduct their own diligence before transacting.
Sellers often rely on intermediaries and platforms, such as SetterVC and other secondary-market platforms, to identify potential buyers. The exact process varies by company and transaction, but sellers often begin by confirming their ownership, desired price, transferability, and any company approval or notice requirements. If the seller agrees with a buyer on acceptable price and terms, the company may need to be notified through a share transfer notice or similar process. If a right of first refusal, company approval right, or other transfer restriction applies, the seller may need to wait until that process is completed. The parties may then execute a purchase and sale agreement, complete required transfer documentation, and close if all required conditions are satisfied. Sellers should always seek proper legal and financial advice before completing the transaction.
Yes, current and former Iterative.ai employees, early investors, and other existing shareholders may be able to sell vested shares before an IPO through a private secondary sale. This is not automatic; it depends on whether the shareholder has transferable shares, whether there is buyer demand, and whether the company's governing documents permit the transfer. Many companies require prior notice, company approval, or a right of first refusal before shares can be sold. Sellers should also seek proper legal and financial advice before proceeding.
A Iterative.ai secondary transaction usually involves an existing shareholder selling shares to a buyer before a public listing. The buyer and seller typically agree on price, number of shares, share class, and closing conditions. The seller may then need to notify Iterative.ai through a share transfer notice or similar process. If Iterative.ai or existing investors have approval rights, transfer restrictions, or a right of first refusal, those steps may need to be completed before the transfer can close. The parties typically enter into a purchase and sale agreement, complete any required transfer documentation, and close only if the necessary conditions are satisfied. Timing and certainty can vary by company and transaction.
In most private secondary transactions, parties commonly use a purchase and sale agreement that outlines price, terms, and conditions. They may also use share transfer documentation, often a stock transfer notice, share transfer notice, transfer instruction, or similar document, along with any required company approval or right of first refusal materials. Proof of ownership, such as a cap table entry, share certificate, brokerage statement, issuer confirmation, or administrator confirmation, may also be important. Buyers often request recent company financials, but private companies may limit disclosure. Since every deal varies, buyers and sellers should consult legal and financial advisors to understand which documents are needed.
Buying Iterative.ai shares pre-IPO is risky. Shares are illiquid, no IPO or liquidity event is guaranteed, valuations can change, transfers may require company approval, and private companies may provide limited financial disclosure. Be prepared for total loss. SetterVC and Setter Capital do not provide due diligence, legal, tax, accounting, valuation, or investment advice. Buyers must conduct their own due diligence, verify information, and seek independent legal and investment advice before proceeding.
Private secondary shares are typically illiquid. Unlike public stocks, there is no active public market, so selling them can be difficult and time-consuming. Sales depend on finding a willing buyer and often require company approval. Investors should be prepared to hold the shares for an extended period, with no guarantee of a future sale. Always assess your need for liquidity before investing.
SetterVC and Setter Capital do not provide due diligence, legal, tax, accounting, valuation, or investment advice. Buyers must conduct their own due diligence, including verifying ownership, transferability, legal structure, company approval, and assessing the company's prospects. SetterVC and Setter Capital do not provide advice on whether an investment is good, what price to pay, or what the best bid or ask is. SetterVC and Setter Capital may share documents in some circumstances, but it does not guarantee their accuracy or completeness. Due diligence is essential. Seek legal and investment advice as needed.
Before buying Iterative.ai shares, a buyer should try to review the share class, price per share, implied valuation, transfer restrictions, ROFR process, company approval rights, seller ownership evidence, recent financing or tender-offer information, available financial information, information rights, resale restrictions, tax considerations, and expected liquidity paths. Not all information may be available for a private company. Buyers should confirm available diligence, process details, and information needs with their own legal, tax, and investment advisers.
SPVs carry risks. Examples include the need to confirm the company allows SPV-based transfers, verify that the SPV truly owns the shares or interests it claims to own, and ensure it has not sold more interests than it holds. Due diligence is essential. Seek legal and investment advice as needed.
Forward contracts carry risks. Examples include the seller refusing to transfer the shares at the future date, even if the seller owns them, the seller going bankrupt with creditors claiming the shares, or the seller committing the same shares to multiple parties. Due diligence is essential. Seek legal and investment advice as needed.
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