Data consolidation
One structure · Full historyRecords scattered across databases, spreadsheets, and field systems, merged into one structure without losing history.
Synapps builds the data systems behind regulated operations.
A Houston software engineering firm for industries where the data has to be right. Records from systems that don't agree, turned into databases and reporting that hold up to regulators and auditors.
Services
Software for the layer everything else depends on
Compliance reporting systems
Submission-ready outputScheduled pipelines with validation and audit trails built in, producing submission-ready output.
Internal tools & integrations
Where spreadsheets stopDashboards, workflows, and system integrations where the spreadsheet stopped scaling.
Legacy modernization
Maintainable · DocumentedAging Access databases and one-person systems brought into maintainable, documented shape.
Sectors served
Energy & midstream
Engineering services
Environmental services
Industrial operations
Regulated utilities
Approach
Defined scope, defined price, defined finish line
[ 01 ]
Short call
Fifteen minutes on what the data problem actually is, and whether it's a fit.
[ 02 ]
Written scope
What gets built, what it costs, what done looks like. No hourly meter on discovery.
[ 03 ]
Build and hand over
Working software, documented, owned by your team. Support optional, independence standard.
Operators & engineering firms
Fixed-fee engagements
Defined projects, typically four to six weeks, delivered as systems the client owns outright.
Discuss a project
Consultancies & dev shops
Subcontract capacity
Senior delivery under the client's flag: backend, data architecture, integration. Available now.
Talk capacity
About
Small by design, senior by default
Synapps is led by its founding engineer, Emmanuel Wada, formerly a senior engineer at Adobe, with production compliance and data systems in daily regulated use. Clients work directly with the person designing and writing their system, with no account layer in between.
The firm's background spans production-scale software and physical infrastructure — an earlier career in architecture, and early data work inside a family engineering practice, mean industrial operations and the data they produce are familiar ground, not abstractions.