Company Profile / Enterprise AI Infrastructure

Thread AI.

The New York company building composable infrastructure for AI-powered workflows - so enterprises can deploy governed, mission-critical AI on the systems they already run.

Founded 2023 New York, NY Series A · $20M Product: Lemma ~30 employees

THREAD AI — The company's mark. Named after Lemma, its flagship platform; a lemma, in mathematics, is a proven building block used to construct larger proofs. New York, 2026.

The Dispatch

Fixing the layer everyone skipped

Not the model. The plumbing underneath it.

Most of the noise in enterprise AI is about models - which one is smartest, which one is cheapest, which one is next. Thread AI, founded in 2023 by two former Palantir leaders, was built on a quieter observation: as models grew more capable, the bottleneck moved. The hard part was no longer the intelligence. It was connecting that intelligence to the hundred-plus systems a real company already runs, in a way that is governed, secure, and traceable.

That is the problem Thread AI set out to solve with its flagship platform, Lemma. Enterprises face what CEO Angela McNeal calls a frustrating dilemma: settle for rigid, prebuilt AI applications that never quite fit the business, or invest heavily in the talent and infrastructure to build workflows from scratch. Both roads are expensive. One is inflexible; the other is slow.

Thread AI's answer is a third path it calls composable. Lemma pairs a drag-and-drop workflow builder with orchestration infrastructure, letting organizations snap together AI models, data sources, applications, and APIs into adaptable, end-to-end workflows. The systems that were never designed to talk to each other finally speak a common language.

Crucially, governance is not bolted on afterward. Audit trails, encryption, sensitive-data removal, custom authentication, and automated vulnerability scanning are part of the foundation - because you cannot run AI inside a bank, a hospital, or a government agency without them.

The market has responded with capital. Thread AI has raised roughly $26 million in about two years: a $6M seed led by Index Ventures in 2024, and a $20M Series A led by Greycroft in 2025. This is a look at what the company does, who it serves, and where it fits.

AI OrchestrationComposable InfrastructureEnterprise SaaSWorkflow AutomationAI GovernancePublic Sector

What Thread AI Does

One platform, many building blocks

Lemma: a workflow builder on top of composable infrastructure

Connect

Lemma links disparate systems, applications, APIs, and AI models - including previously incompatible ones - into a single observable place. It is built on and extends the open-source Serverless Workflow specification.

Compose

A drag-and-drop builder lets teams assemble multi-step workflows that route data, call models, and trigger actions. Multimodal inputs - text, sensor data, video - are supported out of the box.

Control

Governance is native: audit trails, encryption, automatic sensitive-data removal, custom authentication, and vulnerability scanning make AI safe to run in regulated environments.

A concrete example the company points to: on a manufacturing floor, a sensor detects an equipment failure. A Lemma workflow collects the data, uses AI to diagnose and attempt a fix, and notifies a human technician only when the problem cannot be resolved automatically. No dashboard-hopping, no manual triage - and every step is logged.

By The Numbers

The case for composable

$26M

Total raised

70%

Faster process response*

250-500%

Early customer AI expansion*

100+

Software products in a typical enterprise

*Figures reported by Thread AI for some workflows and early customers; not independently audited.

"Companies today face a frustrating dilemma when implementing AI - either settle for rigid, prebuilt applications, or invest heavily in talent and infrastructure."

Angela McNeal · CEO & Co-Founder, Thread AI

Customers & The Problem

Who it's for, and why they need it

Who uses it

Thread AI sells to enterprises and public-sector agencies deploying mission-critical AI - the kind of organizations that operate under real compliance and audit requirements. Reported use cases span manufacturing operations and other regulated, high-stakes settings. Specific customer names are not publicly disclosed, but early customers reportedly grew their AI footprint by 250-500% after adopting Lemma.

The problem it solves

The average large enterprise runs more than 100 software products that don't natively talk to each other. Layering AI across that sprawl usually demands bespoke, purpose-built infrastructure and specialized talent. Thread AI removes that tax: Lemma provides the connective tissue and governance so AI can be deployed incrementally, without disrupting the existing stack.

How It's Different

The middle path

Between rigid prebuilt apps and building from scratch

Prebuilt apps

Fast to buy, but rigid. Single-purpose AI applications rarely fit a company's real workflows and don't scale across the org.

Thread AI / Lemma

Composable. Snap-together infrastructure that adapts to each organization, stays observable end to end, and provides native governance over AI model usage.

Build from scratch

Fully custom, but time-intensive and talent-hungry. Reinventing orchestration, security, and audit for every use case is slow.

Competition comes from enterprise automation and orchestration tools - Palantir's own Foundry/AIP, UiPath, Microsoft Power Automate, workflow tools like n8n and Zapier, and in-house builds. Thread AI's wager is that "composable" is a distinct, defensible category: more flexible than an app, faster than a from-scratch build, and governed enough for regulated buyers.

The Founders

From Palantir to Varick Street

Angela McNeal

CEO & Co-Founder

Former Head of AI/ML Product for Palantir Foundry. Studied Computer Science with an Applied Math minor at Columbia Engineering. She leads Thread AI's product vision and go-to-market.

Mayada Gonimah

Co-Founder

Former AI/ML Engineering leader at Palantir. Together with McNeal, she saw firsthand how enterprises struggle to operationalize AI across fragmented systems - the founding insight behind Lemma.

"Angela and Maya are leveraging their deep AI technical expertise to solve a critical enterprise infrastructure problem," said Shardul Shah, Partner at Index Ventures, which led the company's seed round.

Funding

$26M in two years

Seed to Series A

$6M

Seed · 2024
Index Ventures

$20M

Series A · 2025
Greycroft (lead)

The 2025 Series A was led by Greycroft, with participation from Index Ventures, Scale Venture Partners, Plug and Play, Meritech Capital, and Homebrew. Thread AI said it would use the capital to roughly double its team over 12 months - across engineering, customer success, and field enablement - and to expand its integration catalog, extend multi-agent orchestration and audit trails, and improve onboarding for regulated industries.

Timeline

How it came together

2023

Thread AI is founded

Angela McNeal and Mayada Gonimah leave Palantir to start Thread AI in New York.

2024

Out of stealth with Lemma + $6M seed

The company unveils its composable infrastructure platform, Lemma, alongside a seed round led by Index Ventures.

2025

$20M Series A & Google Cloud Marketplace

A Greycroft-led Series A funds expansion; Lemma is listed on the Google Cloud Marketplace and the team plans to double.

Business Model & Market Fit

Where it sits in the market

Model

B2B enterprise software. Lemma is licensed to enterprises and agencies via direct sales and cloud marketplaces; revenue grows as customers add more and more complex AI workflows.

Distribution

Direct enterprise sales plus the Google Cloud Marketplace, which streamlines procurement for regulated buyers who need vetted, deployable infrastructure.

Position

The connective and governance layer of the enterprise AI stack - sitting between raw models and the sprawl of existing business systems.

Headquartered at 131 Varick Street in New York's Hudson Square, Thread AI is part of a growing East Coast enterprise-AI scene rather than the Silicon Valley model crowd. Its expertise is squarely in the infrastructure and orchestration layer - the founders' home turf from their Palantir years - which is where it aims to be the default choice for organizations that want AI to be incremental, secure, and compatible with the messy reality they already operate.

FAQ

Common questions

What does Thread AI do?

Thread AI builds composable infrastructure for AI-powered workflows. Its platform, Lemma, lets enterprises connect disparate systems, data, and AI models into governed, observable, end-to-end workflows without replacing their existing stack.

Who founded Thread AI?

It was co-founded in 2023 by Angela McNeal (CEO) and Mayada Gonimah, both former AI/ML product and engineering leaders at Palantir.

How much funding has Thread AI raised?

About $26M total: a $6M seed round led by Index Ventures (2024) and a $20M Series A led by Greycroft (2025).

What is Lemma?

Lemma is Thread AI's flagship product - a drag-and-drop AI workflow builder plus orchestration infrastructure, built on open-source Serverless Workflow, with governance, audit trails, encryption, and multimodal input support.

Who uses Thread AI?

Enterprises and public-sector agencies deploying mission-critical AI, including regulated industries and use cases such as manufacturing operations. Early customers reported expanding their AI use 250-500%.