Companies

Callback

getcallback.ai

Callback provides AI-native automation for complex enterprise workflows, combining software integrations with human quality assurance.

HQSan Francisco, California, United States
Employees1-50
Jobs checked 5d ago
Specialization
Not classified
Business
Software Applications
Market
Cross Industry
Ecosystem
Applications
Customers
Enterprises
More details
Organization type
Commercial Company
Ecosystem
Applications
Business
Software Applications
Specialization
Not classified
Market
Cross Industry
Customers
Enterprises
Delivery models
Hosted Software
Revenue models
Subscription
Listing status
Not classified
Latest equity round
Pre Seed
Reported funding amount
Not classified

About

Callback builds an AI-native business-process automation platform for enterprises managing complex operational workflows. Its system integrates with customers’ existing infrastructure and combines automation, human quality assurance, auditability, and permissioned workflows to improve efficiency across financial services, logistics, manufacturing, and other businesses.

Market

Callback competes in enterprise AI workflow automation and orchestration, overlapping with robotic process automation, iPaaS, and AI-native business-process outsourcing. It positions itself around complicated real-world operations rather than simple task automation, combining process mining, forward-deployed implementation, existing-system integration, human QA, and an auditable permissioned system of record. Compared with broader automation suites and connector-led platforms, its differentiation is rapid deployment for bespoke, data-heavy workflows with governance, traceability, and human escalation built in.

Target Customers

Callback targets operations-heavy enterprises and growing companies with complex, repetitive, asynchronous workflows and unstructured data, particularly in financial services, logistics, manufacturing, oil and gas, healthcare, e-commerce, and related sectors. Likely buyers are operations leaders, process owners, and teams seeking to automate manual work without replacing their existing systems, while retaining human QA and auditability.

At a Glance

Problem

Callback addresses the operational overhead that accumulates as companies grow: manual, repetitive work involving unstructured data, complex rules, and coordination across systems. Traditional BPO outsourcing can require months of coordination, training, and quality assurance, making it practical mainly for the largest multinationals. Callback’s core economic promise is to make this previously expensive or impractical work transparent, efficient, and cost-effective.

Its strongest use cases are complicated, high-volume workflows such as image labeling, invoice extraction, PDF report parsing, KYC handling, shipment-to-contract matching, and multi-source data reconciliation. These tasks are difficult for generic software because they combine automation with exceptions, judgment, and changing business rules; they are also expensive to staff entirely with humans.

Product / Service

Callback positions itself as an AI-native business-process-operations platform and software layer. Customers define a process as a reusable “Blueprint,” execute “Jobs” against it, and combine pre-defined automation with human quality assurance. The platform can ingest requests, classify and route them, extract or cross-reference information, flag exceptions, escalate work to operations staff, and generate outputs or reports.

The delivery model is designed to fit existing enterprise environments rather than replace them. Callback’s team helps customers codify processes and tribal knowledge, connects to existing spreadsheets, APIs, data stores, and on-premise databases, and provides an auditable, permissioned system of record. Processes can then be scheduled or triggered on demand, refined over time, and scaled horizontally, with the company claiming production benefits in weeks rather than months.

Market

Callback competes in the overlapping markets for AI-powered business-process automation, intelligent operations, and business-process outsourcing. Its differentiation is the combination of software automation, forward-deployed implementation, human review, and auditability for real-world workflows. Crunchbase identifies Automation Anywhere, Rossum, and Microsoft as possible alternatives, although these are better understood as adjacent automation or document-processing competitors than as exact product matches.

The company was founded in 2024, is a YC Summer 2024 company, and is listed as active. Public evidence indicates meaningful early enterprise traction rather than a purely pre-product concept: Callback describes deployments across financial services, logistics, manufacturing, oil and gas, developer tools, healthcare, and e-commerce, including reported outcomes such as 40% operating-expense efficiency, a 70% faster SLA, a 99% faster revenue cycle, 2% revenue recovered, four-times source coverage, and ten-times platform outputs. Its public materials do not disclose revenue or establish that it is pre-revenue, so the most supportable characterization is an active, early-stage company with production deployments and undisclosed financial traction.

Founders & Leadership

Alan XieFounder
Co-Founder & CEO
Paulo BautistaFounder
Co-Founder & COO

Funding History

2024-10
Pre-Seed$500K

Y Combinator

Recent News

2026-06-04product_launch
Launch YC: Callback - AI business process outsourcing

Y Combinator featured Callback in a Launch YC listing describing it as an AI business process outsourcing company. Callback is described as providing AI-native solutions that automate and optimize business processes for customers.

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Business Model

Callback appears to use a subscription-based B2B software model, charging customers for access to its workflow-automation platform. Customers define operational workflows as Blueprints and run Jobs using automation and human QA; exact pricing is not disclosed in the available evidence.

Products

Callback enterprise AI automation platform and operational system of recordBlueprints for defining and versioning business-process workflowsJobs for executing Blueprint-based workflowsHuman-in-the-loop AI business-process outsourcing and operational automationDocument and data-processing workflows, including KYC, invoice extraction, PDF/report parsing, vendor reconciliation, and shipment/contract matching

Tech Stack

AI-native and agentic workflow automationBlueprint/Job workflow orchestrationHuman-in-the-loop QAProcess mining and process codificationImage, PDF, and unstructured-data extractionAPI and data-store integrations, including on-premises databasesRule-engine-based matching and reconciliationPermissioning, audit logs, versioned snapshots, and rollback controls

Competitors

UiPath Agentic Automation
Automation Anywhere Agentic Process Automation
Zapier
Nintex
Workato
Microsoft Power Automate
AWS Bedrock AgentCore