FINANCE WORKFLOW INFRASTRUCTURE

No "vibes" – deterministic architecture you can trust.

Segmental encodes your firm's exact business logic into a living Manual.
Every invoice coded, every data point reconciled, and every AI agent fed with clean, governed truth — automatically.

See How It Works The Problem with Search

Workflow-Native

We sit inside your AP, audit, and reconciliation workflows — not above them.

Deterministic Engine

Zero hallucination by design. No probabilistic guessing. Traceable, auditable, and repeatable.

The Digital Manual

Validates and standardizes data inputs based on your firm's specific business ontology.

The Problem with Generic AI

Most AI tools are built to search and retrieve. They fail when applied to deterministic enterprise finance workflows that require exact execution.

Search-Native, Not Workflow-Native

Tools like Glean find documents but leave the decision-making to humans. They sit above your workflows instead of executing inside your AP, audit, and reconciliation processes.

Probabilistic Guessing

General-purpose LLMs hallucinate. Finance requires deterministic outputs. When an AI guesses a GL code, it creates variance nightmares at month-end.

Fragile Flat Rules

Traditional IT rules break the second a vendor changes a description (e.g., M365 to Copilot AI). Constant maintenance leads to rules that are always one step behind.

The Vendor Translation Chaos

Vendor Invoices

"M365 Ent. E5 License"

"Workspace Business Std"

"Cloud Productivity Suite"

"Are you sure?" Yes, probability is 0.92

"Are you REALLY sure?" Actually, maybe it is this other policy...

"What rule did you use?" I cannot provide the exact calculation.

Month-End Variances

Human translation errors lead to wrong GL codes and reconciliation nightmares.

The Digital Manual

Segmental replaces manual translation with a deterministic engine that sits inside your finance workflows.

LAYER 1

The Raw Inputs

Real-world accounting data is unstructured and unreliable. Inconsistent invoices, legacy ERP exports.

LAYER 2 — INTELLIGENCE CORE

The Segmental Manual

Validates and standardizes all data inputs. Enforces business definitions deterministically. Zero hallucination.

LAYER 3

The AI Fleet

AI agents and ERP systems receive clean, governed data to execute precisely and accurately.

The Power of 'Business Ontology'

Keyword matching breaks the second a vendor changes their billing description. Segmental uses a Business Ontology — a 3D map of your firm's logic that understands relationships, not just words.

Zero MaintenanceNo IT team constantly updating lists.
Future-Proof ScalingAutomatically handles new vendors without breaking.
Single Source of TruthAP, FP&A, and AI perfectly aligned.

The Ontology routes it automatically

"Copilot AI License"Microsoft Product

Cloud Subscription

GL 6100IT Subscriptions

90m → 3sCoding Time

ZeroSemantic Guesswork

100%Deterministic

0Hallucinations

Proven AI Leadership

Closing the gap between experimental research and reliable production systems.

Jim Yuan

Founder & CEO, Segmental AI

Leveraging deep expertise in LLMs, Autonomous Systems, and 33+ patents to build deterministic enterprise engines.

ex-CTO, Mineral.ai (Google X)

6-year incubation in Perception, LLM & Robotics AI at Google/Alphabet.

Engineering Lead, Google

Built payment transaction systems; Tech Lead for Google Cloud Storage.

33+ Issued/Pending Patents

Perception AI, Coding AI, Knowledge AI, and Robotics.

LLMs are Semantic Giants, but Epistemic Infants.

"There is a structural flaw in how Big Tech innovates. Coding Agents are exhaustive, not smart. AGI won't be achieved by scaling compute. It will be achieved by structuring the 'Tribal Nuance' we are too lazy to capture."

Read Jim's Articles

WE ARE HIRING

Build the Deterministic Engine

We aren't building wrappers. We're building the infrastructure that makes AI viable for exact enterprise workflows.

Software Engineer (Speed & Execution)

The Mission

Join a team led by proven AI veterans from Google X. Your mission is to build the core decision engines and business ontologies that process massive enterprise workflows with zero hallucinations. This requires extreme speed, flawless execution, and an obsession with shipping reliable infrastructure.

You Are Building

Deterministic Logic Compilers
Scalable Business Ontologies
Zero-Trust Finance Pipelines

We Value

Speed & Brutal Execution
Systems Thinking over Hype
Open Source Contribution

Apply Now

Customer Case Study

Unlocking Intelligent Document Processing with Segmental

Customer

A Financial Service Company

Industry

Financial Services

Challenge

Manual processing, low accuracy, and poor scalability.

The Challenge

A leading financial services provider was facing significant inefficiencies in handling unstructured data across critical workflows. Their legacy systems struggled to process a high volume of complex documents, such as financial reports, legal filings, and customer records. Manual review cycles introduced costly delays, and existing AI models delivered inconsistent accuracy, resulting in downstream errors and compliance risks.

The company sought a robust AI-driven solution capable of transforming unstructured documents into structured, actionable intelligence—at scale, with high accuracy, and full enterprise-grade observability.

The Solution: Segmental's Smart Data Indexing on Azure Foundry

Segmental deployed its proprietary Smart Data Indexing engine on top of Azure Foundry, creating a powerful orchestration layer that integrates with key Azure services.