What Foreseer does

Foreseer is a private, for-profit enterprise software company headquartered in New York, United States, founded in 2015. According to its stated positioning, it operates a human-in-the-loop enterprise platform that applies AI and natural language processing to extract structured information from unstructured data at scale. The company's headcount is reported in the 11–50 range, placing it in the small-to-mid enterprise software tier, and it remains privately held with no disclosed IPO activity.

The company's product surface is centered on unstructured data extraction — a workload typically associated with documents, contracts, filings, emails, or other text-heavy enterprise assets. The human-in-the-loop architecture indicates that automated model output is validated or corrected by human reviewers, a design pattern used to improve extraction accuracy and to generate labeled training data. No further technical detail — such as proprietary model architecture, supported document types, vertical specialization, or integration footprint — is available in the supplied data, and the company website currently returns only a loading/verification page with no substantive content.

The business model is not disclosed in the input: no pricing model, customer segments, go-to-market motion, named customers, partnerships, funding history, revenue figures, or distribution channels are reported. This absence of commercial evidence is the principal limitation in assessing Foreseer's market traction. What can be stated is that the company targets enterprise buyers seeking automated extraction from unstructured text, leverages a hybrid AI-plus-human workflow as its core differentiator, and operates at a scale consistent with an early-growth-stage B2B software vendor.

Name

Foreseer

Website

https://foreseer.ai

Company type

Private

Founded year

2015

Headcount range

11–50 employees

Short description

Foreseer is a private New York-based enterprise software company, founded in 2015, that builds a human-in-the-loop AI and NLP platform for extracting structured information from unstructured enterprise data at scale.

Ownership category

akta.pro rank

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Operations

Core offering

Foreseer is an enterprise software platform that uses AI and natural language processing, combined with human-in-the-loop oversight, to extract structured information from unstructured data at scale. The platform is offered to business customers needing automated document and text understanding with verification.

Differentiator

Problem solved

Functional benefit

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Expansion highlights1 record

Direct peers

• Rossum: Rossum provides AI-powered document data extraction for enterprise workflows such as invoices, orders, and claims. It is a direct peer to Foreseer in using AI/NLP to turn unstructured documents into structured data at scale.
• Hyperscience: Hyperscience offers intelligent document processing automation that uses AI to classify and extract data from unstructured enterprise documents. Its core value proposition closely mirrors Foreseer's AI/NLP extraction platform.
• Indico Data: Indico Data applies NLP and machine learning to unstructured document content for enterprise automation across claims, contracts, and customer correspondence — directly comparable to Foreseer's offering.
• ABBYY: ABBYY provides document AI, OCR, and NLP solutions for extracting structured data from unstructured enterprise documents, targeting finance, insurance, and legal use cases that overlap directly with Foreseer.
• Ocrolus: Ocrolus automates document analysis and data extraction for financial services, combining AI with human-in-the-loop verification — a positioning that closely mirrors Foreseer's HITL extraction approach.

Broad incumbents

• Google Document AI: Google's Document AI provides managed NLP and document understanding APIs within Google Cloud, competing with Foreseer for unstructured data extraction workloads at scale as part of a much broader cloud portfolio.
• AWS Textract: AWS Textract extracts text, tables, and structured data from documents as part of the AWS cloud stack, offering a hyperscaler-priced alternative to dedicated platforms like Foreseer.
• Azure AI Document Intelligence: Microsoft's Azure AI Document Intelligence (formerly Form Recognizer) provides AI-based extraction from forms and documents within the Azure ecosystem, directly overlapping with Foreseer's core capability as part of a broader AI portfolio.

Emerging players

• Scale AI: Scale AI provides data labeling and human-in-the-loop annotation services that underpin many document AI and NLP systems; it overlaps with Foreseer on the HITL dimension and competes for the same procurement budgets around training data.
• Datasaur: Datasaur provides NLP-focused data labeling and workflow tools that overlap with Foreseer's unstructured-data extraction theme, particularly in building labeled training datasets for document AI models.

Market position

Strengths3 records

Weaknesses4 records

Competitive moat2 records

Key risks4 records

Key highlights4 records

Customer concentration

• LinkedInlinkedin.com/company/foreseer-ai

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Foreseer