Vertical AI Agents for Databases

Artificial intelligence built on real expertise. Not generic. Specialized.

Waypoint Reply designs and develops AI Agents specifically built for SQL databases: intelligent tools that combine years of experience in migration, analysis and optimization with the power of artificial intelligence. The result is a level of automation and precision that generic tools simply cannot deliver. Years of work on complex migrations have taught us one thing: the quality of the outcome depends on the depth of applied knowledge. This is the principle upon which we built our AI Agents.

Why Vertical AI Agents for Databases

Generic artificial intelligence models — however powerful — lack deep technical expertise on databases. Heterogeneous database migration is a complex activity, rich with edge cases and technical details. Even the most powerful Large Models do not have in their training sets a sufficient volume of knowledge on these specific activities to be precise and deterministic when conducting a complex conversion.

Waypoint has addressed this limitation by developing AI agents that embed the specialist know-how accumulated over years of work on real-world databases:

Assessment and cross-platform compatibility analysis
Performance tuning driven by recognized patterns
Automated debugging and testing on complex SQL logic
Semantic analysis of schema, relationships and actual data usage
Explicit and implicit dependencies detection among different database objects, actual usage, duplications or redundancies

Our approach is vertical and systematic: every agent is designed to solve specific problems in the database domain, with a level of precision that only domain expertise can guarantee. We have developed a set of specialized Skills for the various typical tasks of a migration, tailored to different DBMSs, which our Agents leverage to deliver more accurate and deterministic results.

Our AI Agents

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Migration Assessment

An agent that produces comprehensive assessments before initiating any migration project:

Compatibility analysis — source-to-target platform migration
Effort estimation — based on the actual complexity of the schema and SQL code
Dependency mapping — objects, applications, ETL flows connected to the database
Risk analysis — identification of critical points, highest-probability error areas, and recommended mitigations

An accurate assessment reduces risk and prevents surprises during execution. Our agent delivers it in a fraction of the time required by a manual analysis.

Semantic & Usage Analysis

An agent that generates automatic documentation on how the database is structured and — most importantly — how it is actually used:

Query pattern analysis — which queries are executed, how frequently, on which tables
Table relationships — explicit and implicit relations, dependency graphs
Object usage frequency — identification of high-traffic tables and procedures vs. dormant elements
Data lineage — tracking the flow of data through transformations, views and procedures

This analysis is essential for making informed decisions about refactoring, migration, decommissioning or optimizing a database.

Database Quality Analysis

An agent designed to X-ray the quality of an existing database and surface what often remains invisible:

Obsolete or structurally weak design patterns (anti-patterns, inadequate normalization)
Unused objects — tables, indexes, stored procedures that consume space and generate complexity without value
Architectural anomalies — data type inconsistencies, naming conventions not followed, missing constraints
Undeclared foreign keys and implicit relationships — logical dependencies between tables that exist in code but not in the schema

The result is a detailed, actionable report with intervention priorities and estimated impact.

End-to-End Migration

An agent that orchestrates the entire database migration lifecycle, from source to target:

Automated source analysis — structure, dependencies, volumes
Conversion — schema, stored procedures, functions and data types
Cross-platform incompatibility handling (SQL Server, PostgreSQL, Oracle, MySQL, cloud-native)
Post-migration validation — data integrity, functional correctness, result comparison
Full support — cloud environments (Google Cloud SQL, Snowflake, Azure SQL, Amazon RDS) and on-premise (PostgreSQL, Oracle, Teradata, Hive/Hadoop)

Less manual intervention, fewer errors, drastically reduced migration timelines.

Our Approach

Our value proposition is grounded in a clear principle:
Vertical Expertise + Artificial Intelligence = Higher quality results

	Generic Tools	Waypoint AI Agents
Domain knowledge	Superficial	Deep, built on years of real-world experience
Analysis precision	Generic patterns	SQL database-specific patterns
Automation	Partial, requires heavy supervision	End-to-end, with built-in validation
Output	Raw technical reports	Actionable, prioritized insights

What this means in practice for your business

Time
reduction

tasks that take weeks are completed in hours

Cost
reduction

fewer manual consulting hours, fewer reworks

Risk
reduction

more comprehensive analysis, fewer blind spots

Automatic
documentation

always up to date, available, usable

Let's Talk

Want to understand how our AI Agents can accelerate your next migration, improve the quality of your database, or generate documentation you don't have today?