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Sabana

AI-powered data management for architects and engineers

AI-powered data management platform that streamlines product selection and construction specification writing by automating extraction and comparison of product data from PDFs and websites, helping architects and engineers reduce material selection time and automate specification creation.

$120K raised 🧪 Beta
Founded 2024 • ~6 beta customers (architecture firms primarily in Pittsburgh region)
Website → ← All Tools

Why This Tool Exists

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The Problem

Architects and engineers spend significant time manually managing unstructured product data from datasheets, PDFs, BIM models, and RFIs. Comparing products across manufacturers requires hours of documentation work, and extracting sustainability data like embodied carbon is tedious and error-prone. Teams lack a centralized solution for managing product information throughout the design process.

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The Solution

Sabana automates data extraction from product URLs and PDFs using AI to parse and structure product information. The platform centralizes product data, enables easy comparison across manufacturers, and surfaces low-carbon alternatives. Users can automatically generate construction specifications and collaborate in real-time, reducing manual documentation time and supporting sustainable material selection.

How You Use It

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Delivery Method

SaaS Web Application
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Integrations

Not publicly specified
Disciplines
Architecture, Design Engineering
Project Phases
Design Development, Construction Documentation
Project Types
Commercial, Residential, Mixed-Use

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: Product datasheets, Manufacturer product URLs, Specification requirements
Optional: BIM models, Project sustainability goals, Material constraints
Formats: PDF, URLs, Spreadsheets
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Output

What you get

Format: Structured product database with specification documents
Fields: Product names and specifications, EPD (Environmental Product Declaration) data, Embodied carbon calculations, Cost information, Automated specification text
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Algorithm

How it works

Model: Large Language Models (LLMs) for data extraction and parsing
Accuracy: Not publicly specified (beta stage)
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Privacy

How your data is protected

Retention: Not publicly specified
Training: Not publicly specified
Compliance: Not publicly specified
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API

Integration

Endpoint: Contact vendor for API access
Method: Not publicly documented

Use Cases

  • • Centralizing and standardizing product data across design team
  • • Automating construction specification writing
  • • Comparing products across manufacturers for sustainability
  • • Tracking embodied carbon in material selection
  • • Reducing manual data entry and documentation time
  • • Enabling collaborative product and material specification workflows

Pricing

Free
Beta program access (check website for availability)
Pro
Not publicly specified
Enterprise
Not publicly specified
Website →
📚 Research Sources & Data Quality Last verified: 2026-02-01
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Verified Data (14)
problem, solution, deliveryMethod, disciplines, projectPhases, projectTypes, maturityStage, yearFounded, fundingTotal, customerBase, input-output-specs, algorithm-approach, useCases, founders-and-company-background
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Not Found (10)
api-documentation, pricing-tiers, compliance-certifications, privacy-policy, data-retention-policies, specific-integrations, webhook-support, rate-limiting-details, data-training-practices, detailed-accuracy-metrics
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.

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