Innogath
Innogath is a desktop deep research workspace that plans searches, reads your files, and drafts cited, branching reports you can export.
If your output has to be defensible — footnoted, exportable, handable to a reviewer — Innogath earns its $9.60/mo billed yearly Pro tier: standard research depth, PDF and DOCX export, auto-citations, and 3 concurrent researches. Free is a real trial (500 credits/month, roughly 2–3 Deep Research sessions) but sits on basic depth and Markdown-only export, so it isn't a working plan for paid deliverables. If your habit is one-off questions, a general chatbot beats this. If you need teammates editing one report live, look elsewhere.
Verified 6h ago · liveness 74/100 · cite: rightaichoice.com/tools/innogath
- PhD candidates and academics assembling literature reviews with traceable sources
- Strategy analysts and consultants writing market scans or competitor briefs
- Journalists investigating complex topics who need every claim tied to a source
- Product managers running competitive teardowns from mixed web and internal files
- Anyone wanting a general-purpose chatbot for quick questions or drafting
- Teams that need two or more people editing the same report live
- Cloud-only users who refuse to install a desktop app
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Innogath if you want fast conversational answers rather than exportable cited documents, or if you need several people editing the same report at once — it's a single-user desktop app with no live co-editing.
A Deep Research report burns roughly 150–200 credits, so the 5,000-credit Pro plan covers about 25–33 full reports a month — heavier users hit the ceiling sooner than the tier name suggests.
Three tiers, all credit-metered. Free (500 credits/month) fits a student testing the workflow; Pro at $9.60/mo billed yearly suits a solo researcher shipping one or two documented reports a week; Ultra at $32/mo billed yearly fits heavy parallel research at maximum depth. If you only need quick cited answers rather than full reports, a general AI subscription costs less.
In short
Innogath — Innogath is a desktop deep research workspace that plans searches, reads your files, and drafts cited, branching reports you can export. Best for PhD candidates and academics assembling literature reviews with traceable sources, Strategy analysts and consultants writing market scans or competitor briefs, Journalists investigating complex topics who need every claim tied to a source. Free to start; paid plans from $9.6/mo.
What's new in Innogath
Checked todayAcross the latest 5 updates: 2 feature updates, 1 launch, 1 pricing change and 1 changelog entry.
v0.18.0 — Internal file evidence, evidence modals and report polish
Adds internal file evidence so uploaded CSVs, documents and screenshots can back a report, moves references into focused evidence modals with source metadata, and expands table view for large visual data blocks.
v0.17.0 — Thinking-mode routing and Activity Stream cleanup
Gives the model more room to route between earlier research, lightweight web search, uploaded context and direct answers, and converts research activity rows to compact expandable controls.
v0.16.0 — SEO landing pages, analytics and reader visuals
Ships SEO landing pages for features, comparisons, learn articles and use cases, plus Meta Pixel and analytics across the marketing site and refreshed reader imagery.
v0.15.0 — Free plan moves to monthly credits, Ultra allotment raised
Free shifts from a weekly to a monthly billing cycle at 500 credits/month resetting on the 1st, Ultra rises from 14,000 to 20,000 credits/month at the same price, and Pro stays at 5,000 credits/month.
v0.14.0 — Cross-device research resume and pipeline rework
A Deep Research run started on one device can be followed or finished on another on the same account, research lifetime is decoupled from the browser tab, and cancelling a run now stops backend work within seconds.
What people actually say about Innogath — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
9 mentions across 2 sources (YouTube, Product Hunt) · researched Aug 24, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Branching tree view makes complex research navigable and reusable.
- +Inline citations and source metadata add credibility to every report.
- +Auto-generated diagrams (timelines, flows, comparisons) save manual effort.
- +Multiple chat modes (Fast, Thinking, Deep Research) fit different needs.
- +Exports to Markdown, PDF, and DOCX cover standard handoff formats.
- −No collaboration or graph sharing; only final report export.
- −No clear model selection to control cost or output quality.
- −Parent memory can propagate errors without easy correction.
- −Knowledge decay: no built-in way to revalidate old research.
- −Desktop-only limits access; no web or mobile version.
- • Deep Research mode may consume significant AI credits, leading to overage charges
- • Some advanced features may require higher tier, but exact pricing is unclear
Viability Score
How well maintained and how widely used is Innogath? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Deep Research mode that plans, reads, cross-checks, and writes multi-step cited reports
- Internal file evidence from uploaded CSVs, documents, and screenshots (v0.18.0)
- References open as focused evidence modals with source metadata (v0.18.0)
- Expanded table view for large visual data blocks (v0.18.0)
- Branching research pages that inherit parent context
- Auto-generated diagrams: timelines, process flows, comparisons
- Refresh Diagram to re-generate visuals (Pro and above)
- Canvas pane with click-a-node-to-chat on research nodes
- Rich-text Notebook with slash commands and Send to Note autosave
- Four chat modes: Auto, Fast, Thinking, Deep Research
- Activity Stream audit trail with compact expandable rows (v0.17.0)
- Thinking-mode routing across prior research, web search, uploaded context (v0.17.0)
- Cross-device research resume on the same account (v0.14.0)
- Export to Markdown on Free; PDF and DOCX on Pro and Ultra
- Two-factor authentication via TOTP (Google Authenticator, 1Password, Authy)
About Innogath
Innogath is a downloadable macOS and Windows research workspace for people whose deliverable is a document, not a chat reply. You ask a question, Deep Research plans the work, reads live web pages alongside files you upload — CSVs, documents, screenshots — cross-checks the claims, and drafts a numbered report where each assertion carries a clickable citation. It sits between a note-taking app and an autonomous research agent: output is a tree of linked pages, not a scroll of messages. Reports branch into sub-questions that inherit parent context, and the app auto-generates canvas diagrams (timelines, process flows, comparisons) you can click into to open a fresh chat. Four chat modes — Auto, Fast, Thinking, Deep Research — set how hard it thinks, and the Activity Stream shows each run as an expandable audit trail so you can see which sources it actually opened. Since v0.18.0 (May 23, 2026), references open as focused evidence modals with source metadata and uploaded internal files count as first-class evidence. v0.15.0 (April 26, 2026) moved Free to 500 credits/month and raised Ultra from 14,000 to 20,000 credits/month at the same price. Pricing is credit-metered across Free, Pro ($9.60/mo billed yearly) and Ultra ($32/mo billed yearly). It suits solo researchers — academics on literature reviews, analysts building market scans, journalists verifying a story — better than anyone who just wants a fast answer.
Behind the Verdict
Innogath's bet is that research output should be a document with provenance, and the product is built around that bet rather than around chat. The Book Pane renders numbered chapters with inline citations; the Canvas Pane holds an auto-generated diagram you can click into to open a new chat; the Notebook is a rich-text scratchpad with slash commands and Send to Note. Deep Research plans sources, reads them, cross-checks claims, and flags conflicts instead of smoothing them over. The Activity Stream is the honest part — expandable rows for web search, file reading, earlier research, and writing let you verify what was actually opened. Strengths: evidence handling matured fast. v0.18.0 (May 23, 2026) turned references into focused evidence modals with source metadata shown separately from report body, added internal file evidence for uploaded CSVs, documents and screenshots, and expanded tables for large data blocks. v0.17.0 (May 18, 2026) simplified Thinking-mode routing so the model chooses between prior research, web search, uploaded context and direct answers, with compact activity rows. v0.14.0's cross-device resume means a run started on your Mac can finish on your Windows machine while signed into the same account — unusual for a desktop app. Weaknesses are structural. It's a single-user desktop app for macOS 12+ and Windows 10+, with no real-time multi-user editing. Credits are the meter: a Deep Research report costs about 150–200 credits, a Thinking-mode answer 5–15, a quick chat 5–10. On the 5,000-credit Pro plan that's roughly 25–33 full reports a month. When credits run out you can still read existing projects and diagrams but can't generate anything new until reset. Depth is tiered — basic on Free, standard on Pro, maximum on Ultra — so the deepest reports require the $32/mo billed yearly tier. Branching only works as well as the sub-questions you write. Where it fits: solo researchers shipping a cited artifact — literature reviews, market scans, competitor teardowns, verification work. Where it doesn't: fast-answer chat, live team co-editing, or workflows expecting the research to land in another tool at the end.
Researching Innogath? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Innogath actually fits — and what changes day-one when you adopt it.
You upload four methodology PDFs, ask Innogath for a literature review, then branch the report into counterarguments and citation analysis while the Activity Stream shows which sources were read.
Outcome: A numbered, cited review with branch pages you can export as PDF and hand to your supervisor.
You run Deep Research on a new market, let it generate the comparison diagram, then click a canvas node to open a follow-up chat about one competitor.
Outcome: A competitor brief with auto-generated comparison visuals and traceable citations, exported to DOCX.
You paste a set of claims, attach the source screenshots, and ask Innogath to separate supported facts from inference before drafting.
Outcome: A report where each assertion carries a clickable citation and unsupported claims are flagged in the evidence modals.
Use Cases
- Generate a cited market scan report for a new industry entry.
- Branch a literature review into sub-topics like methodology, counterarguments, and citation analysis.
- Create a competitor analysis with auto-generated comparison diagrams from Deep Research.
- Explore a policy question by branching into regulatory, economic, and social dimensions.
- Draft an article or chapter by combining Notebook notes with cited research branches.
- Verify claims by cross-referencing uploaded files or web sources and exporting a structured PDF.
- Analyze uploaded CSVs, PDFs, or screenshots to extract and cite evidence inside a report.
- Start a Deep Research run on one device and finish it on another while signed into the same account.
Limitations
- Free is capped at 500 credits/month — roughly 2–3 Deep Research sessions, since a report uses about 150–200 credits.
- Research depth is gated by tier: basic on Free (shorter reports), standard on Pro, maximum on Ultra.
- PDF and DOCX export require Pro or above; Free exports Markdown only.
- It's a desktop app (macOS 12+, Windows 10+) with no true web or mobile client.
- There is no real-time multi-user report editing.
- Concurrent research is capped at 1 on Free and 3 on Pro (unlimited on Ultra).
- When credits run out you can still read existing projects, reports, and diagrams, but you can't generate new research or chat until they reset or you upgrade.
- Branching and source linking work only as well as the sub-questions you frame, and credit burn can feel opaque on long runs.
as of 2026-10-11
Verification history
We have re-verified Innogath 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Innogath tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Students and curious researchers testing whether cited reports fit their workflow, with no credit card required.
What this tier adds
Starting tier: 500 credits/month (about 2–3 Deep Research sessions), basic research depth, Fast and Auto modes, Markdown export, 1 concurrent research.
Pro
$9.60/mo, billed yearly
Ideal for
Solo creators, analysts and deep researchers shipping documented reports weekly rather than testing the tool.
What this tier adds
Adds standard research depth, all four chat modes including Thinking and Deep Research, PDF and DOCX export, Refresh Diagram, auto-citations, 3 concurrent researches and priority processing.
Ultra
$32/mo, billed yearly
Ideal for
Power users and small teams running long or parallel investigations that need the deepest reports available.
What this tier adds
Raises the pool to 20,000 credits/month with maximum research depth, fastest processing, unlimited concurrent researches and priority support.
Where the pricing makes sense
The company stage and team size where Innogath's pricing actually pencils out — and where peers do it cheaper.
Three tiers, all credit-metered. Free (500 credits/month) fits a student testing the workflow; Pro at $9.60/mo billed yearly suits a solo researcher shipping one or two documented reports a week; Ultra at $32/mo billed yearly fits heavy parallel research at maximum depth. If you only need quick cited answers rather than full reports, a general AI subscription costs less.
Setup time & first value
How long it actually takes to get something useful out of Innogath — broken out by persona, not the marketing-page minute.
Download and install is a few minutes on macOS 12+ or Windows 10+. Account setup needs email verification (or Google sign-in), and a first-time 8-step tour walks you through the workspace. Your first Deep Research report typically lands 10–30 minutes after you type the question, depending on breadth and whether it reads web sources or only your files.
Switching to or from Innogath
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ChatGPT or Claude chat: paste your existing question into a new Innogath project and run Deep Research to get a cited report instead of a reply scroll.
- →From a note-taking app: move your source documents into Innogath's Notebook and attach them as internal file evidence for reports.
- →From manual web research: hand Innogath the question and use the Activity Stream to check which sources it opened before trusting the draft.
- ↗To a general chatbot: export your reports as Markdown and paste the sections you need to keep iterating conversationally.
- ↗To a document editor: export PDF or DOCX from a Pro or Ultra plan and continue formatting in your word processor.
- ↗To a team wiki: export Markdown from Free or PDF/DOCX from Pro and upload the finished report where your team reads it.
Resources & Guides
- Documentationinnogath.com
Docs · Innogath
Full product docs from innogath.com
- Resourceinnogath.com
How It Works · Innogath
Helpful link from innogath.com
- Resourceinnogath.com
Features · Innogath
Helpful link from innogath.com
- Learninnogath.com
Learn · Innogath
Educational content from innogath.com
- Resourceinnogath.com
Use Cases · Innogath
Helpful link from innogath.com
- Resourceinnogath.com
Changelog · Innogath
Helpful link from innogath.com
Tutorials & Learning
YouTube returned 6 videos for “Innogath”, and we withheld 6: 6 could not be judged, because “Innogath” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Innogath.
Official links
Tools that pair well with Innogath
Common stack mates teams adopt alongside Innogath, with the specific reason each pairing earns its keep.
Otio AI
Otio is a persistent AI research workspace that keeps every PDF, article, video and transcript you upload in one searchable library, with page-level citations
Paxton AI
Paxton AI is a legal AI assistant that grounds litigation research and drafting in your case's matter record.
Unriddle
Unriddle is an AI research workspace that reads, searches, and cites your document library with passage-level source references.
Featured Head-to-Head Comparisons
Innogath vs Surge Ai
Innogath is the right choice if you need a self-service desktop app to produce heavily cited, branching research reports with minimal overhead. Surge AI is the better fit for AI teams that require expert human evaluations and custom benchmarks to train and align frontier models—but its cost and complexity are only justified for serious AI development.
Innogath vs Praktika
Pick Praktika if you're an intermediate language learner focused on speaking fluency with AI tutor feedback. Choose Innogath if you need a deep research tool that produces cited, branching reports with source transparency. They solve entirely different problems — there's no overlap.
Alternatives to Innogath
View all
Otio AI
Otio is a persistent AI research workspace that keeps every PDF, article, video and transcript you upload in one searchable library, with page-level citations
Frequently Asked Questions
Best-of guides
Used Innogath? Help shape our editorial sentiment research.