SuperApp
by SuperApp, Inc. (formerly Instabase, Inc.)
Provider-neutral AI workspace putting team chat, documents and every major model in one governed thread
SuperApp is a collaborative AI workspace that merges team messaging, document creation and multi-model AI into a single thread. Teams invoke Claude, GPT, Gemini or Grok inside a shared conversation and turn it directly into documents, decks, spreadsheets or apps, while every prompt, model contribution, tool call and approval is recorded in an organisation-owned decision ledger.
SuperApp launched on 17 August 2026 as both a new product and a corporate repositioning: SuperApp, Inc. is the renamed Instabase, Inc., the unstructured-data-processing company founded in 2015 by Anant Bhardwaj, who remains founder and CEO. The company has raised over $250 million in total, most recently a $100 million Series D in early 2025 led by the Qatar Investment Authority. The product combines three things that normally sit in separate tools: real-time group messaging in the mould of Slack, collaborative document creation in the mould of Google Docs, and direct access to multiple frontier AI models from Anthropic, OpenAI, Google and xAI inside the same thread. Automatic model routing selects a model per task based on efficiency, reasoning, knowledge and cost, and users on paid tiers can pin a specific model or run several side by side for comparison. A request in a conversation can be turned into a finished document, presentation, spreadsheet or interactive app without moving the work between applications, with source files attached as context. The architectural commitment the company leads with is provider neutrality: organisations can switch underlying models without losing conversations, files, artifacts or history, and conversations remain owned, governed, queryable and exportable. Every request, model contribution, source, tool call, result, revision and approval is written to a durable decision ledger held by the organisation, and consequential actions require human approval. SuperApp ships on web, iOS, Android and desktop, with a free tier that requires no card, credit-metered paid tiers, and an Enterprise option offering dedicated or single-tenant deployment, custom models, data residency controls, audit logs and SLAs. Instabase AI Hub continues to operate on the new SuperApp technology infrastructure; the company states this is a new direction rather than a rename of its earlier enterprise platform.
CIOs and heads of digital workplace who want organisation-wide AI access without standardising on one model vendor, and who need an auditable record of what AI contributed to a decision.
Swap the underlying model — Claude, GPT, Gemini, Grok — without losing a single thread, file or artifact, while the organisation keeps an exportable ledger of every AI contribution.
At a Glance
- Category
- Enterprise Platform
- Pricing
- Freemium, Subscription, Usage-based, Contact for pricing
- Target Market
- CIOs, CTOs, Heads of Digital Workplace, IT Directors, Knowledge Workers
- Deployment
- Cloud-first, Hybrid
- Founded
- 2015
Key Features
- ✓Multi-model threads with automatic routing
Claude, GPT, Gemini and Grok are available inside one conversation, with routing chosen per task on efficiency, reasoning, knowledge and cost so users need not pick a model.
- ✓Durable decision ledger
Every request, model contribution, source, tool call, result, revision and approval is recorded in an organisation-owned, queryable and exportable audit trail.
- ✓Conversation-to-artifact creation
A thread converts directly into a document, presentation, spreadsheet or interactive app with attached source files as context, without switching tools.
- ✓Provider-neutral portability
Organisations change underlying model providers without losing conversations, files, artifacts or history, which is the concrete mechanism behind the anti-lock-in claim.
- ✓Model pinning, custom skills and scheduled agents
Paid tiers add explicit model selection, reusable custom skills, agents, scheduled tasks and custom apps or bots for repeatable team workflows.
- ✓Credit-based metering with pooling
Plans allocate monthly credits from 5,000 on Free to 505,000 on Max, with org-wide pooling on Team Max so heavy and light users balance out.
- ✓Enterprise governance controls
Dedicated or single-tenant deployment, custom models, data residency controls, encryption, audit logs, custom integrations and dedicated support with SLAs.
Capabilities
Use Cases
- •Model-agnostic enterprise AI rollout
IT gives every employee access to four frontier model families through one governed account instead of negotiating and securing four vendor contracts.
- •AI-assisted deliverable production
A project channel discussion becomes the brief, and the finished deck or spreadsheet is generated in the same thread with source files attached.
- •AI decision auditing
Risk and compliance teams query the decision ledger to reconstruct which model, source and human approval produced a given business output.
- •Shadow-AI consolidation
Finance and security replace scattered personal AI subscriptions with one billed tenant where usage, data and retention are centrally governed.
- •Model bake-offs on live work
Teams run the same real task against several models side by side and pin whichever performs best, rather than evaluating on synthetic benchmarks.
- •Regulated-industry AI workspace
Enterprises deploy single-tenant with data residency controls and encryption so AI collaboration stays inside a defined jurisdiction.
Ideal For
Best For
- ✓Organisations deliberately avoiding single-vendor AI lock-in while still giving every team a single AI surface
- ✓Teams where the output of an AI conversation must become a document, deck or spreadsheet rather than stay in chat
- ✓Governance and risk functions that need an auditable record of which model contributed what to a decision
- ✓Companies consolidating a sprawl of individual ChatGPT, Claude and Gemini subscriptions into one billed, governed account
- ✓Cross-functional project work where several people and several models need to operate on the same shared context
- ✓Enterprises requiring single-tenant deployment and data residency controls for AI collaboration
Not Ideal For
- ✗Organisations deeply committed to Microsoft 365 or Google Workspace, where Copilot and Gemini already sit inside the incumbent messaging and document tools and a parallel surface means duplicate spend and split context
- ✗Regulated buyers who need certifications up front — the launch materials publish no SOC 2, ISO 27001 or HIPAA attestation, so compliance review will stall on evidence that is not yet public
- ✗Risk-averse buyers who need reference customers and independent reviews: at launch there is no G2, Capterra or Hacker News footprint at all
- ✗Teams that need predictable per-seat AI budgeting — the credit model makes month-to-month cost a function of usage intensity rather than headcount
- ✗Existing Instabase document-processing customers whose roadmap is now uncertain given the company's stated pivot
Deployment
Market Analysis
Pros
- ✓Genuine hedge against model vendor lock-in — switching providers preserves conversations, files, artifacts and history
- ✓Decision ledger gives compliance and risk teams a queryable, exportable record of AI contribution to business outputs
- ✓Collapses chat, document creation and AI into one surface, removing the copy-paste loop between a chat assistant and a document editor
- ✓Free tier with no card required and 5,000 monthly credits makes pilot evaluation genuinely zero-friction
- ✓Backed by over $250 million in funding including a $100 million Series D led by the Qatar Investment Authority, so runway is not the immediate risk
- ✓Enterprise tier offers dedicated or single-tenant deployment with data residency controls and audit logs
Cons
- ✗Enters a saturated market against Slack, Microsoft Teams and Google Workspace, and the launch coverage is entirely company-framed — Reworked's write-up, the most relevant trade analysis, carries no competitive assessment, no adoption-barrier discussion and no independent expert commentary at all
- ✗Zero independent user signal at launch: a Hacker News search for SuperApp and Instabase returns no results, and there are no G2, Capterra or TrustRadius listings, so there is nothing to check the vendor's claims against
- ✗No published SOC 2, ISO 27001 or HIPAA attestation in the launch materials, which will stall procurement in regulated industries regardless of the single-tenant option
- ✗Credit-based metering makes cost a function of usage intensity rather than headcount, and credits-per-dollar improves only at higher tiers — a heavy team can be pushed to the $2,500/member Max plan to get an economic rate
- ✗The company is mid-pivot: SuperApp is explicitly a new direction rather than a rename of the Instabase enterprise platform, leaving existing document-AI customers with an unclear roadmap
- ✗Depends entirely on third-party frontier models, so pricing, availability and capability are ultimately governed by Anthropic, OpenAI, Google and xAI
Pricing
Free
$0
- ✓5,000 credits per month
- ✓5 GB storage
- ✓Automatic model routing across major AI models
- ✓Messaging, research, collaborative docs
- ✓Image and video generation, file analysis
- ✓Version history and context memory
- ✓No card required
Personal Lite
From $100/year
- ✓15,000 credits per month
- ✓25 GB storage
- ✓1,000 credits per dollar base rate
Personal Pro
From $250/year
- ✓42,500 credits per month
- ✓100 GB storage
- ✓1,500 credits per dollar
- ✓Model pinning
- ✓Custom skills and agents
- ✓Scheduled tasks
- ✓Custom apps and bots
Personal Max
From $2,500/year
- ✓505,000 credits per month
- ✓2 TB storage
- ✓2,000 credits per dollar
Team Pro
From $250/member/year
- ✓42,500 credits per member per month
- ✓100 GB storage per member
- ✓Team channels and shared projects
- ✓Org controls, reporting and member management
Team Max
From $2,500/member/year
- ✓505,000 credits per member per month
- ✓2 TB storage per member
- ✓Org-wide pooled credits
- ✓Audit trails
- ✓Agent ledger access
Enterprise
Contact for pricing
- ✓Dedicated or single-tenant deployment
- ✓Custom models
- ✓Data residency controls and encryption
- ✓Governance and audit logs
- ✓Custom integrations
- ✓Dedicated support and SLAs
- ✓Invoice/PO billing on annual agreements
Pricing is credit-metered rather than purely per-seat, which matters for budgeting: the Free tier gives 5,000 credits and 5 GB, Personal runs $100/$250/$2,500 per year for Lite, Pro and Max, and Team is billed per member at $250 or $2,500 per year. The credits-per-dollar rate improves with tier — 1,000 on Lite, 1,500 on Pro, 2,000 on Max — so heavy users are pushed upward, and only Team Max pools credits org-wide. Storage scales with tier from 5 GB to 2 TB. Enterprise is quote-only on annual agreements with invoice or PO billing, and is where dedicated or single-tenant deployment, data residency, custom models and SLAs live. Model inference cost is absorbed into credits rather than billed through, so the effective per-token rate is not visible to the buyer.
Security & Compliance
Sources
This page was written from 5 sources, 4 on domains other than superapp.chat.
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