Number of Seats/Users: Kili offers discounts based on the number of users or seats. A higher volume typically leads to a better discount structure, especially for enterprise-level usage.

Commitment to a Long-Term Contract: Discounts are often provided to companies that commit to using the service for a longer period (e.g., 1-year or 3-year contracts). A longer commitment shows Kili that the company is serious and willing to invest in the platform long-term.

No Active Discounts: Companies that are not already receiving other active discounts may have a better chance of qualifying for additional discounts from Kili. Kili reserves discounts for new customers or those not currently under promotional pricing.

Volume or Usage Commitment: Kili offers discounts if you agree to a minimum amount of usage or transaction volume. This could be based on data storage, transactions, or other metrics tied to how much you will use the platform.

Enterprise-Level Negotiation: Companies that qualify as “enterprise” due to their size or complexity (e.g., having large teams, multiple departments, or geographical presence) may be eligible for additional discounts from Kili . Such companies are often in a position to negotiate for better pricing.

Early Renewal or Prepayment: Kili often offers discounts if you renew early or prepay for the entire contract period. This is a common approach to securing a lower price.

“We recently took a close look at how our Spendbase clients are using Kili Technology. We uncovered key insights that highlight what users love about the platform—and a few areas where there’s still room to improve.

What our Spendbase clients appreciate about Kili:

• User-friendly interface
  Clients consistently praise Kili’s intuitive design, which simplifies the annotation process across various data types. The platform’s ease of use boosts productivity and shortens onboarding time.
• Versatile data support
  Kili handles images, videos, text, PDFs, and even geospatial data. This flexibility allows teams to use one platform for a wide range of ML projects.
• Robust collaboration tools
  The platform supports real-time teamwork with features like project roles and task assignments. This helps teams manage large labeling efforts with consistency and ease.
• Quality assurance features
  Built-in validation workflows, consensus scoring, and review stages help keep data accurate and consistent across all annotations.
• Responsive customer support
  Our internal data shows that clients find Kili’s support team helpful, fast, and engaged, especially during onboarding and technical questions.

Areas where Kili could improve:

• Integration limitations
  Some clients wish there were more pre-built integrations with common ML and data platforms to reduce the need for custom development.
• Performance issues
  A few clients noted slowdowns when handling very large datasets, which can interrupt labeling momentum.
• Documentation gaps
  Certain advanced features need clearer documentation. Some users rely heavily on support to understand and use specific tools effectively.

Summary

Kili Technology stands out as a reliable and feature-rich solution for data annotation. Our Spendbase clients love how easy it is to get started, the variety of data types it supports, and the quality-focused tools built into the platform. While there are some technical and integration-related areas that could be improved, most clients find Kili to be a strong and valuable part of their machine learning workflows.

If you’re considering a labeling solution for your team, our Spendbase discounts make it easier to try Kili without overspending.