Sensible vs Instabase

Instabase runs LLM agents.
Sensible picks a method per field.

Instabase builds apps and flows on LLMs, with agents that reason across a packet of documents. Sensible picks a layout method or an LLM method for each field in one configuration.

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Bank statement with the extracted closing_balance and a passed balance check.

Per field

Choose an LLM or deterministic method for each field

Per document

Pricing, whatever the page count

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Technical Comparison

Sensible vs Instabase

Sensible is a document extraction platform where you choose a method for each field: a deterministic layout method or an LLM. It returns JSON typed to your schema, runs your validation checks, and can include the page and bounding polygon each value came from. LLM query fields return confidence signals, and pricing is per document, whatever the page count.

Instabase

Instabase calls itself "The Agentic Automation Platform". Its AI Hub has an app editor for extraction and classification and, on Enterprise single-tenant deployments, a flow editor that chains classification, extraction, validation and Python steps. It lists no prices, and its SDK covers Python and no other language.

What we're comparing
Sensible
Instabase
The practical trade-off
Extraction Architecture
Hybrid (SenseML Layout Rules + LLMs)
LLM Apps With Multi-Model Optimization
Instabase selects the AI model for each task. Sensible lets you choose a layout method or an LLM for each field.
Best Use Case
Production pipelines that write document data into a system of record: underwriting, claims, lending, AP, onboarding
Multi-step decisions over a packet of documents
Reasoning across a packet is Instabase's stated focus. Sensible extracts each document with its own configuration.
Configuration
A text configuration with fields, methods and checks in one place
Low-code app editor; flow editor on Enterprise
Instabase's flow editor, on Enterprise single-tenant, gives step-level control. Sensible uses a text configuration.
Setup Approach
Write a configuration from sample documents, or have Sensible's team build it
Prebuilt or custom apps in the AI Hub editor
Instabase starts from an app in its editor. Sensible starts from sample documents and a configuration.
Multi-Document Files
Segments a file into documents, then extracts each one
Packet-Aware AI Agents check across documents
Both split a file into documents. Instabase can also check fields across the packet on its Enterprise tier.
Validation And Review
JsonLogic checks flag a failing extraction for the review tab
Validation rules, confidence scores, human review
Both validate and send work to review. Instabase keeps rules in the app or a flow, Sensible in the configuration.
SDKs And API
REST API, Node and Python SDKs, webhooks
REST API; SDK needs Python 3.7 or higher
A Node or TypeScript backend favors Sensible's SDK. A Python team can use either SDK.
Deployment Options
Hosted on AWS; custom region on Enterprise
Multi-tenant SaaS, single-tenant, or your own VPC
Instabase offers single-tenant and self-managed VPC options. Ask how each is scoped and priced.
Pricing Structure
Predictable flat per-document pricing
No prices listed; talk to sales
Sensible's published plans let you model cost before a call. Instabase's pricing starts with a conversation.
Technical Architecture

The Hybrid Extraction Pipeline

A SenseML config picks a layout method or an LLM method per field. Sensible types each value, runs your checks and flags failures.

Document Ingestion
PDFs, Images, Text
SenseML Router
Rule-based orchestrator
Deterministic Engine
Spatial Anchors & Regex
Multimodal LLM Engine
Generative Interpretation
Compute
Type coercion & derived fields
Validate
JsonLogic rule checks
Human Review
Flagged docs, one-click fix
Structured Output
Typed JSON + page positions
Document Ingestion
PDFs, Images, Text
SenseML Router
Rule-based orchestrator
Deterministic Engine
Spatial Anchors & Regex
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Multimodal LLM Engine
Generative Interpretation
Compute
Type coercion & derived fields
Validate
JsonLogic rule checks
Human Review if flagged
Flagged docs, one-click fix
Structured Output
Typed JSON + page positions
Frequently Asked Questions

Technical & Architectural Details

Is Instabase now called SuperApp, and what happens to AI Hub?
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Its homepage banner says "Instabase is now SuperApp" and "AI Hub continues to be fully supported". This page compares AI Hub's document extraction. Check which name your contract uses.
Does Instabase extract with rules or with LLMs?
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Its docs describe LLM-based apps with validation rules and Python functions, and an Enterprise flow editor that chains steps. Multi-Model Optimization picks a model per task. In Sensible you can pick a layout method for a field.
How do the Instabase and Sensible SDKs differ?
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Instabase's docs say its SDK requires Python 3.7 or higher and supports no other language, though its API works from any language that can make HTTPS requests. Sensible has Node and Python SDKs and webhooks.
How does Instabase pricing compare with Sensible's?
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Its old pricing URL now opens a capabilities page with no prices. Docs list two tiers, Enterprise lite and Enterprise, with a dedicated instance and solution building as add-ons. Pricing goes through sales. Sensible lists its plans.
What does Instabase do that Sensible does not?
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Its site describes agents that check across a packet of documents, and its Enterprise tier adds rules that compare documents in a packet, plus a flow editor. Sensible splits a packet and extracts each document with its own configuration.
Who builds the extraction logic in each product?
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In Instabase you build apps, or flows on Enterprise, in its editors, and it lists solution building services as an add-on. In Sensible your team writes configurations, or the managed services team builds and adjusts them from your samples.
The Takeaway

Which One Should You Use?

Instabase if...
  • Decisions across a packet the decision depends on several documents together, and Instabase's agents apply business rules across the packet.
  • Building in an editor your team wants a low-code app editor with Python functions, and an Enterprise flow editor for full pipelines.
  • Model choice handled for you you want the platform to select an AI model for each task through Multi-Model Optimization.
  • Python integration code your engineers write Python, since Instabase's SDK requires Python 3.7 or higher and no other language.
Sensibleif...
  • Method choice for each field fixed layouts get a layout method and variable wording gets an LLM, mixed in one configuration with fallbacks.
  • A Node or TypeScript backend you want an SDK in your own language, and Sensible ships Node and Python SDKs beside the REST API.
  • Pricing before a sales call you want published plans and per-document rates, with a 14-day free trial, before you talk to anyone.
  • Checks written beside the fields you want JsonLogic rules written next to the fields they check, flagging a failing extraction for review.
  • Someone to write configurations you want Sensible's managed services team to adjust configurations when a document layout shifts.

Try Sensible on your documents.

Bring the document your team dreads. If it works on that one, you'll know.

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