Choose the software problem you need to solve.
Start with the pressure in front of the team: a workflow that needs a focused product, handoffs that fail between systems, software that has become risky to change, or AI adoption that needs clear authority.
Focused software for important workflows
Create a product around the work people need to complete, not around the limitations of the current workaround.
Web applications
Operational productsPortals, dashboards, internal systems, APIs, and line-of-business products with the domain rules, data, accessible experience, background work, and release path treated as one system.
Mobile applications
Field and customer momentsiOS and Android products designed for the work that belongs on a device, with authentication, synchronization, conflict behavior, privacy, accessibility, release, and support planned in.
Connected systems and operational data
Make the whole business process visible, recoverable, and reconcilable across boundaries your team does not fully control.
Systems integration
End-to-end operationsConnect enterprise platforms, vendor APIs, identity, ERP systems, events, queues, and legacy services with explicit contracts, retry behavior, reconciliation, and operator recovery.
Data platforms
Trustworthy movement and useShape Databricks, Snowflake, database, lakehouse, ingestion, synchronization, backfill, quality, provenance, reporting, access, and recovery decisions around real operational use.
Existing software made safer to change
Use evidence from the product, repository, runtime, data, integrations, and delivery path to sequence a credible modernization or reliability plan.
Software architecture & reliability
Assessment and changeReview product purpose, architecture and database boundaries, long-running work, security and privacy risks, test strategy, delivery controls, observability, migration, rollout, rollback, and ownership.
From system map to operational handoff
Reviewable deliverySee how decisions, production slices, risk-selected validation, release verification, runbooks, and documentation form a delivery path the client can follow and own.
AI under business control
Put decision rights around adoption, or engineer one narrowly defined workflow with evidence, validation, human authority, and a clear fallback.
AI governance
Operating modelDefine use-case intake, risk tiers, data and vendor boundaries, approval paths, accountability, exceptions, monitoring, and a review cadence teams can actually use.
AI agents
Bounded executionBuild a scoped workflow around typed intake, approved context, limited capabilities, structured outputs, deterministic checks, provenance, human gates, evaluation, and controlled rollout.
Open and self-hosted software
Make licensing, packaging, documentation, deployment, upgrades, backups, restoration, security reporting, and contribution boundaries part of the product itself.
Explore open source and self-hosted work
See how Logister and FinanceTracking.app demonstrate different license models and the operational work behind credible self-hosted software.