Applied AI

What Applied AI does

Applied AI is a New York-based, principal-led AI consulting firm founded in 2015 by Stefan Jansen that partners with enterprise and Fortune 100 clients to design, build, and operate production-grade AI systems. The firm operates exclusively in regulated industries—primarily financial services, insurance, and healthcare technology—with a stated focus on solving the "pilot purgatory" problem by delivering systems that survive governance audits and deliver measurable ROI. Its service portfolio is organized into three interconnected practices: AI Strategy & Enablement (opportunity identification, prioritization, and AI literacy workshops for executive teams), Predictive Analytics (classical ML for demand forecasting, churn prediction, uplift modeling, and causal inference), and Workflow Automation (hybrid deterministic-plus-AI systems for document AI, contract intelligence, and agent orchestration with human-in-the-loop defaults).

The firm's technical differentiation rests on a hybrid AI architecture that combines deterministic logic with probabilistic models (LLMs and agents) for traceability and auditability, supported by proprietary evaluation frameworks including PDFbench (a benchmark suite testing 19 parsers across 610+ documents) and reference implementations for production agents. Applied AI also maintains an active open-source footprint on GitHub (PDFsmith, Claude Code Toolkit, Relay, mdtoken, Enterprise Agents) and publishes a library of technical briefings alongside a bi-weekly newsletter (AI Execution Brief). It presented research at NeurIPS 2025 on multi-agent system failure modes.

The business model is professional services—discovery sessions, embedded delivery, strategic advisory, and ongoing maintenance—with no public self-service product, API, or disclosed pricing. Revenue is not publicly disclosed, and the company is privately held and bootstrapped with no disclosed institutional funding. Distribution is direct enterprise sales with a free initial consultation, supported by content-driven demand generation. Notable engagements include contract intelligence deployment for a global reinsurer (which motivated a patent filing on the methodology), multi-year uplift modeling for a healthcare technology provider informing tens of millions of targeting decisions, AI enablement programs for Fortune 100 senior leadership teams, and research/trading platform development for asset managers and crypto funds.

Name

Applied AI

Legal name

Applied AI

Website

https://applied-ai.com

Company type

Private

Founded year

2015

Operating status

Operating

Headcount range

11–50 employees

Short description

Applied AI is a New York-based, principal-led AI consulting firm founded in 2015 that designs, builds, and operates production AI systems for Fortune 100 and regulated-industry clients across financial services, insurance, healthcare, and asset management.

Ownership category

akta.pro rank

Product category

AI Consulting Services

NAICS

Computer Systems Design and Related Services (54151), Computer Systems Design Services (541512), Computer Training (611420)

SIC

Services-Management Consulting Services (8742), Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

AI/ML Engineering & Model Development Services (BPAEAHAF)

akta.pro secondary industries

AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent) (HDAAACAF)

Keywords

• AI consulting services
• Workflow automation
• Predictive analytics
• Machine learning solutions
• Enterprise AI strategy

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

1. AI Consulting Services: Professional services engagements including AI strategy & enablement, predictive analytics implementation, and workflow automation. Engagement models include discovery workshops, embedded delivery, strategic advisory, and ongoing maintenance & evolution.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels6 records

Core offering

Applied AI is a New York-based AI consulting studio founded in 2015 that delivers principal-led AI strategy, predictive analytics, and workflow automation engagements to Fortune 100 enterprises in regulated industries. The firm builds production-ready AI systems, typically grounded in document-heavy and analytical workflows, supported by a suite of open-source tools (PDFbench, PDFsmith, Enterprise Agents, Relay, mdtoken, Claude Code Toolkit) that accelerate delivery and demonstrate technical credibility.

Product overview

Applied AI is a New York-based AI consulting studio founded in 2015, offering principal-led strategic consulting and implementation services for enterprise AI. The core service portfolio spans three interconnected practice areas: AI Strategy & Enablement (foundation consulting for AI readiness and opportunity identification), Predictive Analytics (classical ML for forecasting, churn prediction, and causal inference), and Workflow Automation (hybrid deterministic/AI systems for document processing and agent orchestration). These services are complemented by Agent Lab—a showcase of working AI demos including a World Cup forecast agent, coverage auditor, and customer support resolution agent—and an open-source toolkit (PDFbench, PDFsmith, Claude Code Toolkit, Relay, mdtoken, Enterprise Agents reference implementations). The company also publishes a library of technical briefings on enterprise AI implementation and a bi-weekly newsletter (AI Execution Brief), along with training offerings (Executive Briefings, Leadership Workshops, Technical Deep Dives). The portfolio is unified around the company's core thesis: AI that delivers value and survives production, with emphasis on verification, governance, and measurable business outcomes.

Differentiator

Problem solved

Functional benefit

Products and services

• AI Strategy & Enablement Principal-led AI strategy and enablement consulting service that helps enterprise clients move from AI experimentation to production-ready deployments, with senior practitioners embedded on client teams. Targeted at Fortune 100 organizations in regulated industries.
• Predictive Analytics Predictive analytics consulting service that builds evidence-based machine learning and statistical models for enterprise use cases, combining domain knowledge with modern ML approaches. Targeted at enterprise clients in financial services, insurance, healthcare technology, and asset management.
• Workflow Automation Workflow automation consulting service that designs and builds AI-driven automations for document-heavy and analytical business processes. Targeted at enterprises seeking production-grade automation in regulated environments.
• Executive AI Briefings Executive-level education and briefing sessions that help C-suite and senior leaders understand the strategic implications of AI for their organizations. Targeted at Fortune 100 executive teams.
• Leadership Workshops Leadership workshops that equip senior managers with practical AI knowledge and frameworks for leading AI initiatives within their organizations. Targeted at leadership teams at Fortune 100 enterprises.
• Technical Deep Dives & Pairing Hands-on technical deep dives and pairing sessions where Applied AI's practitioners work directly with client engineering and data teams on AI implementation. Targeted at technical teams at enterprise clients.

Quantifiable outcome

• Contract analysis reduced from ~1 hour to seconds (~60x faster)
• +4 more outcomes

Named customers5 records

Segments4 records

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability11 records

Feature6 records

Scale indicators2 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Slalom: Mid-sized consulting firm with a strong AI/ML practice serving enterprise clients across financial services, healthcare, and insurance. Closest match on size tier and vertical mix, with overlapping workflow automation and predictive analytics offerings.
• Tiger Analytics: AI and analytics consulting firm delivering predictive modeling, forecasting, and ML engineering to enterprise clients. Comparable on headcount tier, service mix (predictive analytics, MLOps, NLP), and Fortune 100 client profile.
• Caserta: Boutique data and AI consulting firm delivering data engineering, MLOps, and AI solutions to mid-market and enterprise clients. Comparable on principal-led boutique model, financial services focus, and production ML engineering capabilities.
• Tredence: AI engineering and analytics services firm serving retail, consumer goods, healthcare, and financial services enterprises. Comparable on production ML engineering, forecasting pipelines, and demand-side analytics engagements.
• Fractal Analytics: AI services firm providing predictive analytics, forecasting, and decision-support solutions to Fortune 500 enterprises. Comparable on classical ML, demand forecasting, uplift modeling, and CAO/CDO buyer personas in regulated industries.

Broad incumbents

• BCG Gamma: BCG's data science and AI consulting practice focused on advanced analytics for large enterprises. Directly comparable on enterprise AI strategy, predictive analytics, and production deployment engagements in regulated industries.
• Accenture AI: Global consulting giant's AI practice delivering enterprise-scale AI transformation, including generative AI, MLOps, and intelligent automation. Comparable on workflow automation and AI-led enterprise modernization engagements.
• Palantir Technologies: Enterprise data and AI platform provider serving highly regulated industries including financial services, insurance, and government with Foundry and AIP. Comparable as a provider of production-grade AI/agent systems to the same regulated enterprise buyer Applied AI serves.
• QuantumBlack (McKinsey): McKinsey's AI/analytics arm serving Fortune 100 enterprises with strategy and implementation. Comparable as a large incumbent competing for the same enterprise AI transformation budgets and senior leadership relationships that Applied AI targets.
• Deloitte AI & Data: Big 4 AI and data analytics practice offering strategy, implementation, and managed services to Fortune 100 enterprises. Comparable as a scaled incumbent competing for the same regulated-industry AI transformation budgets.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/applied-artificial-intelligence
• LinkedInlinkedin.com/company/applied-artificial-intelligence

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

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 Applied AI