Basedash VS Optlo
Compare Basedash VS Optlo and see what are their differences
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Teams usually arrive here after doing the arithmetic on per-resolution pricing. If every resolved conversation carries a fixed fee, the better your support gets the more you pay for it, and none of the underlying AI cost is visible to you.
Optlo splits that in two. The platform is a subscription: $19/month for 500 active conversations and one seat, $59 for 2,000 conversations and three seats, custom above that, two months free on annual billing. The AI is yours: connect an OpenAI, Anthropic or Google Gemini account in your own name and that provider bills you for tokens at their rates, with the spend caps set in their console.
What the platform fee buys is an agent trained on your site, docs and help centre, replies in the customer's language, a shared inbox, human handoff that carries the thread across, a visual editor for building conversation flows a step at a time, and connectors that call Stripe or any HTTP API mid-conversation.
Two things to weigh before switching. You have to be willing to hold a provider account and its keys. And Optlo answers on your website - it has no ticketing, so if you are replacing a full helpdesk you would be replacing only part of one.
Model choice stays open afterwards: change provider, or run different models at different steps, without changing the support tooling around them.
Basedash OptloOptlo's answer:
Optlo runs on your own AI account. You connect your own OpenAI, Anthropic or Google Gemini account and pay that provider directly for tokens, while Optlo charges a platform subscription based on active conversations and seats.
Most AI support tools bundle AI usage into your bill and charge per resolution, so the cost of the AI is invisible and grows with your success. Here the provider account stays yours: usage and spend limits sit in your own provider console, conversations run through your account, and you can switch providers or mix models per workflow step without renegotiating your support tooling.
Optlo's answer:
Three reasons, and all of them are about control rather than a feature count.
Two trade-offs worth knowing up front: you need to be comfortable holding your own AI provider account, and the agent acts inside workflows you design rather than planning its own.
Optlo's answer:
Support and CX leads at SaaS and online businesses running support at volume - teams handling enough conversations that per-resolution AI pricing becomes a real line item, and who are comfortable holding their own AI provider account.
It suits companies that want cost visibility and control over which model runs where. It is not a fit for teams looking for a full multi-channel helpdesk: Optlo is a website chat agent with a shared inbox and human handoff, with no email, phone or ticketing.
Optlo's answer:
We built Optlo because AI support pricing is backwards. Most tools charge per resolution, so your bill grows with your success and you never see what the AI actually costs.
Optlo flips that: you bring your own OpenAI, Anthropic or Google Gemini account and pay the provider directly, and we charge for the platform rather than your tokens. Your provider account, your spend limits, your call on which model runs where.
Optlo was founded by Jonas Budelmann, who previously built the product-onboarding platform HelpHero, and launched in June 2026.
Based on our record, Basedash seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I would recommend you to check Basedash It might be helpful in your case. Source: over 3 years ago
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