Capabilities

Technical proof behind the product

Serious software has to be built, secured, observed, recovered, and changed without losing control.

What a technical buyer can check

From idea to owned product

Hatchery turns product and business questions into a buildable path.

Hatchery pressure-tests the business goal, user flow, system design, security model, and operating plan before the build hardens.

AdviseBusiness, scope, product decisions BuildJava, data, integrations, AI OwnSecurity, support, evidence, evolution
Readiness check Architecture, access, logs, rollback, recovery, evidence
Business goalValue, users, workflow
UX clarityFlows people can use
Hard logicRules, math, edge cases
Data foundationModels, history, reporting
AI protectionAegis, policies, logs
IntegrationsPayments, APIs, CRM
OperationsAWS, recovery, support
Hatchery experienceApproach + systems
Product that worksBusiness-ready, not brittle
Long-term successLaunch, monitor, improve

Product architecture

The product needs structure for roles, data, workflow, reporting, integrations, and future releases.

Production stack

Hatchery builds production systems with Java, modern frontend tooling, SQL, and AWS.

Logic, calculations, and math

The valuable work is often the hard logic: rules, calculations, scoring, optimization, and explainable output.

Hosted applications and protected agents

Live products and agents need ownership boundaries before more features.

Build

Host

Protect

AWS operations, Aegis, and compliance support

Production needs visibility, access control, recovery, AI protection, and evidence.

Aegis

Protected AI belongs inside operations.

Aegis gives teams a governed AI path so sensitive company data does not drift into public tools or personal accounts.

  • Approved routing across GPT, Claude, Bedrock-hosted models, and future providers
  • Multi-AZ Aegis platform design with retry, fallback, and escalation paths
  • Bedrock inference-profile support for cross-region model routing where available
  • Prompt, file, data, memory, model, and tool-use policies
  • Identity, authorization, traces, logs, token usage, and spend visibility
  • AgentCore runtime, Gateway, Identity, Memory, MCP, KMS, CloudTrail, and PrivateLink-aware patterns
Resilience note Aegis does not make outside models infallible. It makes AI access observable, governed, and easier to route or degrade gracefully.
01

Monitor

Availability, performance, errors, jobs, APIs, access patterns, and security events.

02

Secure

Environment separation, least privilege, encrypted storage, secrets, and audit records.

03

Recover

Backups, restore checks, RTO/RPO planning, runbooks, and rollback paths.

04

Evidence

SOC 2 support, HIPAA-aware workflows, ISO alignment, privacy support, and traceability.

AI product systems

AI belongs in a product when workflow, trusted data, tools, review, and measurement are clear.

Integrations

Strong products depend on outside systems. Data flow and failure handling need to be visible.

QBIntuit QuickBooks
SShopify
AMAmazon Marketplace
GGoogle
MMeta
TSTwilio and SendGrid
MCMailchimp
SPStripe Payments
AWSAWS Services
YTYouTube
HSHubSpot
RPRanchPayments
ZZapier
ACAcumatica
SFSalesforce
DSDocuSign
OKOkta
M365Microsoft 365
NSNetSuite
PLPlaid

Integrated payments

Hatchery primarily supports Stripe and RanchPayments. We are a RanchPayments technical partner.

Build with Hatchery

Take the product idea, complex workflow, or AI opportunity and make it real.

Clarify what to build, what to simplify, what to protect, and what must work first.

Idea UX Code AI + data Launch Operate Evolve

Start with Hatchery when

Clarify the path

Talk through the build