# Labelbox vs Toki

Labelbox records 762,803 monthly visits with -22.8% month-over-month growth and Contact for Pricing pricing. Toki records 86,216 monthly visits with +24.5% growth and Freemium pricing.

| Metric | [Labelbox](https://openaitools.app/tool/labelbox) | [Toki](https://openaitools.app/tool/toki) |
| :--- | :--- | :--- |
| Website URL | https://labelbox.com | https://toki.com |
| Categories | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools | AI Scheduling, AI Assistant, AI Calendar, AI Agent |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 762,803 | 86,216 |
| MoM Growth Rate | -22.8% | +24.5% |
| Primary Market | United States | Brazil |
| Direct Visits | 370,024 | 38,952 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Labelbox

Labelbox occupies an unusual position in the AI stack: it does not primarily sell a chatbot or a generator, it builds the environments and data that models learn from plus the agents that take over recurring engineering and research work. The homepage claim is direct — frontier AI labs train on Labelbox environments and expert data, while engineering and research teams hand their recurring backlog to agents running on Recursion. A recent Series E of more than $100 million signals a heavily funded bet on that thesis.,For enterprises, the newer half of the product is Recursion. Agents are triggered by real signals — a failing build, a PagerDuty alert, a new dependency release, a fresh model checkpoint, or a Monday morning schedule — and then work in the background until the job is done. The examples the company promotes are concrete deliverables rather than summaries: a tested pull request with a preview link, a postmortem draft in Confluence with every event sourced, an ablation table naming the changes that mattered, or a patch for each exposed service after a critical CVE. A grader agent scores each run, and the graded session leaves behind memories, notes and skills that the next session reads before it acts.,The original foundation remains the data business: labeling, annotation, curation and model evaluation supported by expert human reviewers, used for computer vision, NLP, supervised fine-tuning, RLHF and red teaming. In practice the two halves reinforce each other, since the environments that produce high-quality training data are the same environments where agents learn to do real work. Pricing is enterprise-style, routed through sales conversations and shaped by data volume and agent usage, with no public self-serve tier.

**Pricing & Plans:** Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

- **Data labeling and expert annotation:** Structured annotation, curation, model evaluation and human-in-the-loop review across vision, language and generative tasks, used to build the training and eval data behind production models.
- **Autonomous agent sessions:** Recursion agents start on their own from builds, alerts, commits, checkpoints and schedules, then work in the background until the task is finished and reviewable.
- **Domain specialists by function:** Specialist agents cover software engineering, reliability, security, ML research, evals, R&D, product and finance workflows, from flaky test fixes to postmortem drafts and vulnerability patches.
- **Graded outcomes that compound:** Every agent run is scored by a grader, and graded sessions leave memories, notes and skills that the next session reads before acting, so quality compounds over time.
- **Native tool and data integrations:** Agents operate against the tools teams already use, including GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery, Databricks, Vercel and cloud providers.

**Strengths:** Covers both sides of the problem: training and eval data production plus agents that act on recurring work; Backed by a recent $100M+ Series E and adoption by frontier AI labs, indicating real funding and demand; Agent runs produce concrete deliverables with proof — tests, reruns, ablations — rather than unverified suggestions; Integrates with the toolchain teams already run: GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery and Databricks

**Limitations:** No self-serve pricing or open signup: everything routes through a sales conversation, which slows down evaluation; The platform assumes real engineering and research infrastructure (GitHub, cloud providers, data warehouses) to deliver value; Positioning has shifted quickly toward autonomous agent sessions, so teams wanting only labeling workflows may find it heavier than needed

[Profile (Markdown)](https://openaitools.app/tool/labelbox.md)

## Toki

Toki pitches itself as an executive assistant rather than a productivity app, and the framing matters. Instead of an inbox of to-dos waiting for you to triage, Toki connects to your sources, finds the matters that are actually important, and works them. It syncs email, calendars, Slack and devices so it can see the whole picture, then uses that context to decide what deserves your attention today.

Interaction is deliberately conversational and multi-modal. You can text Toki as you would a person, send a voice note while walking, or forward a screenshot and have it turned into an event. It can also go the other direction and call you when something is time-sensitive, which is how the Call Me feature is positioned. Over time it builds a memory of your habits and preferences: which meetings you accept, how you like your days structured, what you want protected as deep-work time.

Control is an explicit part of the design. Toki proposes an action and asks for approval before it proceeds with anything consequential, so the assistant moves fast without acting unilaterally. The product also handles group coordination through one shareable booking link, monitors prices, flights and news as triggers, and runs across iPhone, iPad, Apple Watch, Mac and Android. Toki's site reports more than 5 million users, a 4.9 app rating and coverage from outlets including Forbes, The Verge, Fast Company and Nikkei. One notable change: the standalone WhatsApp experience was retired after WhatsApp's Business Solution Terms were updated to prohibit standalone AI products, and Toki now points users to its own mobile apps instead.

**Pricing & Plans:** Freemium with a free tier and paid subscription plans available through the App Store and Google Play. Features such as reminders and calendar creation are widely used for free, while heavier usage and premium capabilities sit behind in-app subscriptions and trials.

- **Matters, auto-discovered:** Sync email, calendars, Slack and other tools and Toki surfaces the tasks and goals that matter instead of waiting for you to file each one manually.
- **Voice, image and text input:** Speak, type or send a screenshot. Toki accepts all three, replies in kind, and can phone you when something genuinely needs attention.
- **Natural-language scheduling:** Create events, reschedule, block deep-work time and resolve conflicts by describing what you want in plain language rather than clicking through forms.
- **Memory of your preferences:** Toki learns how you plan and what you prefer, so reminders sharpen and recommendations fit your working style over time.
- **Triggers and monitoring:** Set Toki to watch prices, flights and news and alert you when conditions change, turning it from a scheduler into an ongoing monitor.
- **Booking links:** Share one link and let people pick slots that already fit your calendar, with no back-and-forth email chains.

**Strengths:** Handles real scheduling work in plain language instead of form-driven UIs; Multi-modal input: voice notes, screenshots and text all create calendar events or reminders; Proactive discovery of important matters across email, calendar and Slack; Approval system keeps you in control of what it does on your behalf

**Limitations:** No longer available inside WhatsApp after the platform-wide WhatsApp Business Solution Terms change; Requires installing a mobile app instead of working purely through an existing chat thread for former WhatsApp users; Advanced proactive features work best once you connect several sources (email, calendar, Slack), so value depends on how much you sync; Heaviest value is on Apple hardware; the Apple Watch and Siri experiences have no full equivalent elsewhere

[Profile (Markdown)](https://openaitools.app/tool/toki.md)

## Frequently Asked Questions

### How do Labelbox and Toki compare in monthly traffic?

Labelbox has 762,803 monthly visits, while Toki has 86,216. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Labelbox has a month-over-month growth rate of -22.8%; Toki has +24.5%.

### How does pricing compare?

Labelbox: Contact for Pricing. Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases. Toki: Freemium. Freemium with a free tier and paid subscription plans available through the App Store and Google Play. Features such as reminders and calendar creation are widely used for free, while heavier usage and premium capabilities sit behind in-app subscriptions and trials.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Streamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration. | [.md](https://openaitools.app/tool/roboflow.md) |
| 2 | [Reclaim AI](https://openaitools.app/tool/reclaim-ai) | 735,853 | -1.7% | Freemium, Free Trial | AI calendar that defends your focus time and schedules work automatically | [.md](https://openaitools.app/tool/reclaim-ai.md) |
| 3 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Relies heavily on managed human-in-the-loop workforce services for data validation, offering less self-serve technical tooling than Labelbox. | [.md](https://openaitools.app/tool/appen-com.md) |
| 4 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox. | [.md](https://openaitools.app/tool/scale.md) |
| 5 | [Motion](https://openaitools.app/tool/usemotion-com) | 511,886 | -15.5% | Free Trial, Paid | The AI super app for work — tasks, projects, calendar and meetings in one place | [.md](https://openaitools.app/tool/usemotion-com.md) |
| 6 | [Town](https://openaitools.app/tool/town) | 472,909 | -12.8% | Freemium, Free Trial | An adaptive AI work assistant that learns how you work across inboxes, calendars, chats, and apps | [.md](https://openaitools.app/tool/town.md) |
| 7 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 8 | [Carly AI](https://openaitools.app/tool/carly-ai) | 340,001 | +1.5% | Freemium | Email an AI assistant and let it run your schedules, inbox and CRM | [.md](https://openaitools.app/tool/carly-ai.md) |
| 9 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) |
| 10 | [Fyxer](https://openaitools.app/tool/fyxer-ai-executive-assistant) | 298,288 | -3.8% | Free Trial, Paid | An AI executive assistant that works across your inbox, calendar and meetings | [.md](https://openaitools.app/tool/fyxer-ai-executive-assistant.md) |

---
Source: https://openaitools.app/compare/labelbox-vs-toki

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)