Descript is an AI-powered video and audio editor that lets you cut recordings by editing their transcript, then clean up, caption, translate and repurpose the result. Underlord, its AI co-editor, plus Studio Sound, voice cloning and screen recording turn a single tool into a full production pipeline for creators and teams.
Outerbase is an AI-native workspace for exploring, querying and visualizing data across SQL and NoSQL databases. It pairs an ask-in-plain-English assistant with a spreadsheet-style table editor, dashboards and a shared data catalog, so engineers and analysts can work on the same data without fighting tooling. As of 2025 the team has joined Cloudflare.
Descript is an AI-powered video and audio editor that lets you cut recordings by editing their transcript, then clean up, caption, translate and repurpose the result. Underlord, its AI co-editor, plus Studio Sound, voice cloning and screen recording turn a single tool into a full production pipeline for creators and teams.
Text-based editing
Edit audio and video by deleting, rearranging or retyping words in the automatic transcript, with a full multitrack timeline available when you need it.
Underlord AI co-editor
Describe the edit you want in plain language and let the AI assistant assemble a tight cut, add clips and handle repetitive production work.
Studio Sound and speech regeneration
Remove background noise, level out voices, and fix misread lines with Regenerate Speech using a clone of your own voice.
Captions, translation and clip export
Generate subtitles and transcripts in a click, translate video into other languages, and reformat long recordings into shareable vertical clips.
強み・メリット
+Editing video by editing a transcript is dramatically faster than timeline scrubbing for interview, podcast and talking-head content
+Audio and visual AI features (Studio Sound, Eye Contact, Green Screen, Regenerate Speech) cover fixes that would otherwise need several tools
Recording, editing, captioning, translation and clip export all live in one workspace, reducing handoffs
+Remote Rooms recording and link-based review with time-coded comments suit distributed teams
+Strong enterprise story: SOC 2 Type II, SAML SSO, SCIM and GDPR-compliant data handling
制約・デメリット
–Heavy AI features and exports are gated behind paid plans, and free-tier limits are tight
–Long or complex projects with many tracks can feel heavier and slower than a dedicated non-linear editor
–Best results still come from clean source audio, so noisy recordings may need manual attention
–Advanced users who need granular effects and color work may still finish in another editor
–Billing is per seat, so costs add up quickly for large teams
Outerbase
Outerbase is an AI-native workspace for exploring, querying and visualizing data across SQL and NoSQL databases. It pairs an ask-in-plain-English assistant with a spreadsheet-style table editor, dashboards and a shared data catalog, so engineers and analysts can work on the same data without fighting tooling. As of 2025 the team has joined Cloudflare.
Ask EZQL natural-language queries
Type a question in plain English and get an instant answer drawn from your connected data, without writing SQL by hand.
AI query editor and auto charts
The AI editor reviews your SQL, corrects mistakes and suggests improvements, then turns result sets into presentation-ready charts automatically.
Spreadsheet-style table editor
A snappy grid built from scratch for fast navigation of large tables, with customizable table plugins and edit-in-place controls.
Self-serve dashboards
Compose analytics boards manually or hand them to the AI, then embed charts anywhere using open-source web components.
強み・メリット
+Broad database coverage across SQL and NoSQL engines, so you rarely need a second tool
+Genuinely useful AI layer: natural-language queries, query fixing and automatic charting in one place
+Table and chart components are open source and embeddable in your own applications
+Strong security posture with SOC 2 Type 2, HIPAA, encryption, role-based access and private AI models
制約・デメリット
–No public self-serve pricing, so you must contact sales to get started commercially
–The natural-language layer is only as good as the underlying schema documentation
–Self-hosting is limited — the managed product is the main path, which may not suit air-gapped environments
