Certant
Certant is a white-label AI platform built for consultancies and systems integrators. It offers two models: fixed licensing for customer-provided hardware and cloud-based credits. The company claims it has already completed production deployments covering 120,000 pages.
Updated: 2026-10-27
What is Certant?
Certant is aimed at consultants, integrators, and agencies, allowing them to resell AI capabilities under their own brands. The platform offers two commercial models: fixed licenses for customer-provided hardware and cloud credits. The company says it has completed production deployments at a scale of 120,000 pages in Australia and the UAE. The platform leaves delivery control to partners themselves, while underlying capabilities are billed through licenses or credits.
Who is it for?
- Consulting and integration service providers who want to package AI capabilities into their own products for delivery.
- Enterprise customer projects that require local or isolated deployment and have high data compliance requirements.
- B2B delivery teams that want fixed pricing rather than usage-based billing.
Key features
5White-Label Resale
Consulting and integration firms can deliver services under their own brands without building an underlying platform from scratch, focusing their efforts on customer solutions.
Customer-Provided Hardware License
Customers can use their own hardware and purchase a fixed 12-month license, with no per-query billing and a more predictable cost structure.
Cloud Credit Model
You can also use the cloud directly with credit-based billing, suitable for projects that do not want to maintain hardware and have flexible delivery timelines.
Paragraph-Level Citations
Answers can cite specific paragraphs, making it easier for deliverers to verify sources and for end customers to trust conclusions.
Offline Deployment
The company says it partners with ASUS Ascent GX10 to provide an air-gapped version, suitable for compliance scenarios where data cannot leave the premises.
How to use Certant
- Demonstrate paragraph-level citations to end customers.
- this can significantly improve the persuasiveness of a proposal.
- Start with the cloud credit model for prototyping, then switch to a customer-provided hardware license after the customer approves.
- Emphasize paragraph-level citations in proposals and make verifiability a delivery selling point.
- Before isolated deployment, confirm hardware configuration and network restrictions, and reserve implementation time.
- For partners, its value lies in delivering complete AI solutions without building their own platform while retaining control over branding and customer relationships.
- Overall, the effectiveness of this type of tool depends on whether users have clear goals.
- Before formal adoption, it is advisable to spend time reading the official documentation and changelog to confirm whether the feature scope, data permissions, and billing rules match your business processes.
- For uncertain details, confirm through official customer service or the help center first, and do not rely on third-party information to make important decisions.
- At the same time, any automation should retain a human review step, especially in scenarios involving funds, external communications, or legal obligations, where humans remain ultimately accountable.
- The value of a tool is not in replacing judgment, but in offloading repetitive work so that people have time to handle more complex problems.
Traffic & popularity
Data month Sep 2026
Certant receives about 3.4M visits per month.
Monthly visits
9 monthsEstimated from third-party traffic data.
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