Balerion

Balerion (Balerion AI) is a San Francisco-based agentic AI platform for mortgage loan origination, underwriting, and processing. Its flagship product, Loan Intelligence, is an agentic reasoning engine embedded directly into the origination workflow that automates the loan manufacturing lifecycle — complex high-precision income calculation, guideline validation, document checks, and identifying derogatory conditions in bank and credit data through underwriting and closing. The company raised a $6M seed round in April 2026 led by Kleiner Perkins with participation from Formation and BoxGroup, and was co-founded by CEO Naren Krishna (previously a founding member of Snowflake-acquired Ponder) and CTO Vishal Satish. Early customers include residential lender FM Home Loans. As of this profile Balerion publishes a marketing website only — no public API, developer portal, documentation, or SDKs are available.

Balerion is profiled on the APIs.io network. Tagged areas include Company, Fintech, Mortgage, Lending, and Underwriting.

🌐 Visit website 📡 Source on GitHub

4.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-25 · rubric v0.14.0

0 APIs

Company Fintech Mortgage Lending Underwriting Agentic AI Loan Origination Financial-Services

Kin Score

Kin Score How this is scored →
scored 2026-08-25 · rubric v0.14.0

Composite quality — 4.2/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 1.3 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.3 / 9

Regulatory Posture 1.4 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Surface 0 / 5

Regulatory Posture applies to this provider. Its tags matched the Insurance regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/balerion: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 3

Authentication, authorization, and security posture

TrustCenter

TrustCenter

Compliance

Compliance

DomainSecurity

DomainSecurity

Company 3

The organization behind the API

Website

Website

Press

Press

LinkedIn

Other 3

Properties that don't map to a standard resource type

Company

Company

Product

Product

Source (apis.yml)

aid: balerion
name: Balerion
description: Balerion (Balerion AI) is a San Francisco-based agentic AI platform for mortgage loan origination, underwriting,
  and processing. Its flagship product, Loan Intelligence, is an agentic reasoning engine embedded directly into the origination
  workflow that automates the loan manufacturing lifecycle — complex high-precision income calculation, guideline validation,
  document checks, and identifying derogatory conditions in bank and credit data through underwriting and closing. The company
  raised a $6M seed round in April 2026 led by Kleiner Perkins with participation from Formation and BoxGroup, and was co-founded
  by CEO Naren Krishna (previously a founding member of Snowflake-acquired Ponder) and CTO Vishal Satish. Early customers
  include residential lender FM Home Loans. As of this profile Balerion publishes a marketing website only — no public API,
  developer portal, documentation, or SDKs are available.
url: https://raw.githubusercontent.com/api-evangelist/balerion/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://framerusercontent.com/images/H8LKBpfDeGWelhLc2gAoFzNnHY.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- kleiner-perkins
- formation
- boxgroup
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Fintech
- Mortgage
- Lending
- Underwriting
- Agentic AI
- Loan Origination
- Financial-Services
tags_raw:
- Company
- Fintech
- Mortgage
- Lending
- Underwriting
- Agentic AI
- Loan Origination
- Financial Services
apis: []
common:
- type: TrustCenter
  url: security/balerion-trust-center.yml
- type: Compliance
  url: https://trust.balerion.ai/
- type: Website
  url: https://balerion.ai
- type: Company
  url: https://balerion.ai/company
- type: Product
  url: https://balerion.ai/product
- type: Press
  url: https://balerion.ai/press
- type: GitHubOrganization
  url: https://github.com/balerion-ai
- type: X
  url: https://x.com/BalerionAI
- type: LinkedIn
  url: https://www.linkedin.com/company/balerion-ai/
- type: DomainSecurity
  url: security/balerion-domain-security.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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