Super
Founded 2018 · 49 employees on LinkedIn · 3 known investors
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Super.AI provides intelligent document processing (IDP) software that automates information extraction and downstream business processes from documents for enterprises in logistics, shipping, financial services, and technology sectors.
Also known as super.AI · Super.AI
Founders & leadership
Super was founded in 2018 by Brad Cordova.

Investors · 3
Funding
SEC filings, press & company announcements$65M disclosed across 1 round · 2026
- $65MSeries DJul 2026Source ↗
Source: company announcements and press reports — follow each round's link for the claim.
Company profile
researched Aug 2026super.AI is a cloud-based artificial intelligence platform for processing unstructured documents and automating the downstream workflows that depend on them. Users upload a document — PDFs, scanned images, photos, emails and Office files — and describe in plain language what should be extracted; an agent then assembles a workflow that selects models, defines output schemas, and wires up routing logic, validators, triggers and integrations. Typical document types include invoices, purchase orders, bills of lading, customs entries, insurance claims and customer-defined formats, with explicit support for difficult inputs such as mixed-language invoices, multi-page contract packs, hand-corrected forms, low-quality scans and tables with merged cells.
The product exposes each workflow as a visual graph that can be inspected, edited, branched, versioned and rolled back, and it surfaces the model, prompt, confidence and alternatives behind each classification, extraction and routing decision. Corrections made to extracted fields are absorbed by the agent and applied on subsequent runs without a separate retraining cycle, and human-in-the-loop review views allow customers' own reviewers to verify outputs. Platform capabilities described by the company and by a third-party software directory include document classification, document redaction, table recognition, LLM-based text understanding, human review, entity extraction, and anomaly detection. Enterprise-oriented controls cover KMS-backed encryption at rest and in transit, an encrypted credential vault scoped per organisation and per workflow, TOTP/SMS/email MFA during runs, step-by-step execution logs with screenshots and inputs, exportable audit trails, and scheduled reports and alerts.
Business model
super.AI sells software for automated document processing, combining a self-service, product-led entry point with enterprise contracts. Sign-up is free with no credit card and no sales call; self-service and Growth accounts are governed by self-service terms of service, while SOC 2 Type II reporting, Trust Center access and contractual security commitments are reserved for Enterprise plans. A third-party directory lists starting price as custom, set according to organisation type and needs.
Pricing is not published; a third-party software directory lists the starting price as custom, varying by organisation type and requirements, with a free entry tier and paid Growth and Enterprise plans referenced by the company.
Traction
Metrics published on the company's website include 99% accuracy in enrichment of global merchant records, more than $1M of warehouse management documents processed annually, 80% cost savings and $9M saved annually from reduced churn, a 92% reduction in human review hours, and 500+ layouts and languages processed. A named customer, CHI Cargo, states it moved from processing about 50% of its documents to 100%.
▸Full profile — market position, technology, go-to-market, geography, risks & controversies
Market position
super.AI operates in intelligent document processing and AI-driven workflow automation, with published integrations into enterprise systems including SAP, Salesforce, Workday, Oracle, IBM, SAS and Zapier. A third-party directory rates the product 4.9 out of 5 across 12 verified user reviews and describes it as SOC 2 and GDPR compliant, while noting limited offline capability, reduced mobile functionality and potential extra cost for custom features.
Positioning emphasises handling documents that fail on other systems — messy, hand-corrected, multi-page and low-quality material rather than clean benchmark data — plus full inspectability of every model, prompt, confidence score and routing decision, deterministic and versioned flows rather than opaque model behaviour, no-code workflow creation by conversation, and continuous improvement from user corrections without a data-science team.
Technology
The platform combines multiple AI models, including large language models, under an agent that selects models, structures outputs and builds executable flows from natural-language requirements. Documents are handled across 500+ layouts and languages. Feedback from user corrections is incorporated without a retraining cycle, and human review is available for quality-sensitive workloads. Flows are deterministic, versioned and roll-backable visual graphs, and results are delivered through REST APIs, webhooks, email, storage services such as S3 and Drive, and direct database write-back.
Go-to-market
Acquisition runs through a self-service, free-to-start product experience on the website where a prospect drops a document and receives a working workflow, alongside enterprise-oriented demo requests, customer case studies, use-case pages, integration listings and an engineering blog.
The website is oriented around logistics and trade operations teams — freight forwarding, freight audit and payment, warehouse and 3PL, ocean and air carriers, e-commerce and last-mile, and road freight. A third-party directory describes the platform as serving businesses of all sizes across financial services, insurance, logistics, TIC centres, e-commerce and healthcare, and names SSI, Takeda and Balfour Beatty among users; the company's site cites CHI Cargo as a customer.
Geography
Language coverage cited by a third-party directory spans English, Spanish, French, German, Norwegian, Dutch, Polish, Portuguese and Italian, and the platform is described as handling 500+ layouts and languages.
Risks & controversies
SOC 2 Type II coverage, Trust Center access and contractual security commitments apply only to Enterprise customers; self-service and Growth accounts carry no SOC 2 commitment. Third-party review commentary cites limited offline capability, incomplete functionality on mobile devices, additional cost for custom features, and difficulty configuring custom data processing.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Competitors · 3
by search overlapCompanies competing with Super for the same Google search keywords, organic and paid, via search-intersection analysis.
In the news
▸Research sources · 8
primary sources listed
- Supersuper.ai · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Super do?
- super.AI is an AI document-processing platform that turns plain-language instructions into auditable extraction workflows.
- Who founded Super?
- Super was founded by Brad Cordova in 2018.
- Who are Super's investors?
- Super's investors include Mosaic Ventures, NFX, Seaplane Ventures.
- How much funding has Super raised?
- Super has disclosed $65M raised across 1 round.


