Searching for Scale AI alternatives because you want an independent second vendor? Use these six checks to compare any candidate, including us, on the same terms.
A second vendor reduces concentration risk and gives you a benchmark for quality and price. The right one is the vendor that passes your tests on your data. For each check we note what to ask and, where we can support it, how Indika AI answers.
What to ask: Ask who owns the vendor and whether any investor or parent builds models that compete with yours. Get the answer in writing.
Indika AI: Indika AI is independently owned and does not compete with customers' models.
What to ask: Ask whether your data, labels and feedback are ever used to train the vendor's own models, and have the contract say so.
Indika AI: Indika AI does not use customer data to train its own models.
What to ask: Ask for current certificates and audit reports, not a questionnaire answer, and confirm how personal data is handled.
Indika AI: Indika AI holds ISO 27001 and ISO 9001, is SOC 2 Type II audited, and is GDPR compliant.
What to ask: Ask how annotators and domain experts are vetted, and whether specialist RLHF work goes to people with relevant expertise rather than a general pool.
Indika AI: Indika AI works with 60K+ vetted annotators and experts.
What to ask: Ask the vendor to score its output against a gold set you write. Agree the acceptance threshold up front, and ask how errors are fed back to annotators.
What to ask: Run the same pilot with every vendor: your data, your guidelines, your acceptance criteria, a fixed scope and a decision date.
Indika AI: Indika AI offers a no-cost pilot.
Send every shortlisted vendor the same sample and guidelines, score the results against your gold set, and request the certification documents listed above. Decide on evidence.
Ask about a no-cost pilot and judge the output yourself.
Request a pilot →The data foundation enterprises trust to build reliable AI, since 2021.