TestSprite
4.1Tests what a coding agent just wrote, and hands back a failure bundle the agent can act on.
Platform
AI tools that run entirely in the browser, no download required.
Tests what a coding agent just wrote, and hands back a failure bundle the agent can act on.
Builds a governed ontology over enterprise data so agents answer from the same definitions.
Durable execution: workflows that survive crashes and resume exactly where they stopped.
Google's end-to-end machine learning platform, from tf.keras through to production MLOps.
Debugs neural networks by finding the failure modes, not just reporting the metric.
One bot joins the call and translates everyone, in 60-plus languages, live.
Podcast-shaped repurposing: bulk RSS import, per-show dashboards, chatbot on the back catalogue.
Legacy modernisation as a service: static analysis first, then AI and senior engineers.
Voice agents that phone insurance payers for benefits, prior auth and claim status.
One podcast or webinar upload becomes the transcript, the clips, the posts and the newsletter.
Document processing that survives hand-corrected forms, with humans in the loop by design.
Describe an iOS app and get real Swift code for iPhone, iPad, Watch and Mac.
Turns a brief into a script and a storyboard, with the same character across every frame.
Business decks built on a chosen narrative structure rather than a slide template.
Community chat where every thread is an SEO-indexed page, at $29.95 flat for everyone.
Browser tilemap editor that exports straight to Unity, Godot, Phaser and six more engines.
White-label chat and voice agents an agency resells under its own brand and domain.
Benchmarks language proficiency across a district, then assigns practice against the gap.
Build agents visually or in code, then run them on cloud, on-prem, edge or desktop.
Enterprise integration platform where the connectors and the agents share one runtime.
Finds a patient's insurance from minimal detail and verifies eligibility in about six seconds.
Phone system with an AI receptionist and one inbox for calls, SMS, email, chat and WhatsApp.
Work management at enterprise scale, from a spreadsheet grid up to portfolio dashboards.
Keeps PII out of models and agents at runtime, using a privacy vault and polymorphic encryption.
Background removal with an API, a desktop batch app and a Photoshop extension.
Observes how work actually happens, then builds a context graph agents can operate from.
Generates marketing designs as editable layers with real fonts and vectors, not flat images.
An =SHEETAI formula in Google Sheets, filled down a column across a thousand rows.
Turns an investment team's forecasts and models into data, then scores them against outcomes.
Records what you click and turns it into a step-by-step guide with screenshots.
SERP, reader, file and screenshot APIs in one platform, priced per credit.
Verified-context layer that checks what AI assistants cite about you and republishes the truth.
Ambient medical scribe with coding, plus an AI receptionist, across 100-plus EHRs.
Named AI teammates living in Slack channels, each authenticating as the person asking.
Agents triggered from Slack or GitHub that investigate across your tools and report back.
One endpoint to 1,000 models, with tracing, evaluation and alerting behind it.
Reads what a file actually contains and renames it accordingly, in bulk or automatically.
CE-marked retinal imaging analysis for clinics, trials and pharmaceutical research.
Free summariser, paraphraser and translator with no account and no character limit.
Builds internal tools against any database, API or LLM, now from a prompt.
Stages and redesigns rooms from a photo while leaving walls, windows and doors alone.
Finds PII in documents and redacts it permanently, with an audit trail attached.
ATS and CRM for recruitment agencies, with agents that format CVs and draft replies.
AI SOC that triages every alert across 12-plus sources and shows its reasoning.
Physics-driven AI that places and routes a PCB overnight instead of over weeks.
Imaging biomarkers for lung and heart clinical trials, from a Cambridge deep-learning lab.
Guardrails, evaluation and red-teaming for LLM apps, with judge models fast enough for runtime.