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United StatesProfessional services2026 – ongoing

Caylent

Caylent Accelerate, an agentic system for database migration and cloud operations

Caylent cut engineering hours by 90% on a 2,500-procedure database migration with a Claude agent system

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Problem

Moving legacy commercial databases to open-source ones on AWS meant translating thousands of stored procedures by hand, at roughly four hours each. Migration assessments took months of dependency mapping, so many customers put modernization off.

Approach

Caylent, an AWS consultancy, built Caylent Accelerate, which runs hundreds of Claude instances in parallel inside each customer's AWS account through Amazon Bedrock. A first harness proved brittle, so the team rebuilt it on the Claude Agent SDK. Specialized agents parse inventories, translate dialects, validate and summarize, Haiku handles high-volume parsing and Sonnet handles synthesis, and engineers check edge cases.

Results

90%reduction in engineering hours on a 2,500-procedure database migration, per AnthropicVendor case study[1]
58% to 82%faster database migrations across four further engagements, per AnthropicVendor case study[1]
$600,000annual licensing cost eliminated for one enterprise SaaS customer, per AnthropicVendor case study[1]
40%cut in mean time to resolution in cloud operations remediation, per AnthropicVendor case study[1]

Takeaway

Part of the saving came from finding that about 1,850 of the 2,500 procedures in one migration were dead code that needed no translation.

Categories

Evidence
Vendor case study

Sources

Source summaries

[1]Anthropic21 Jul 2026

Anthropic describes Caylent Accelerate, built on the Claude Agent SDK, and its use in customer database migrations. It reports a 90% cut in engineering hours on one 2,500-procedure migration, 58% to 82% faster migrations in four other engagements and a $600,000 annual licensing saving. The page carries no date; the Internet Archive first saved it on July 21, 2026.

Full details are in the original sources.

Added 4 Nov 2026 · Updated 4 Nov 2026
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