Your process is manual, slow, or hard to scale.
Customers send documents by email. Staff retype data between systems. Support crosses languages. Reporting depends on spreadsheets. The bottleneck is real work, not an abstract AI use case.
AI software factory
Algebra builds practical AI-enabled solutions for messy business workflows: document-heavy processes, multilingual customer journeys, internal tools, and product ideas that need to reach real users.
Senior engineering-led delivery. Specialized agents accelerate architecture, development, security, QA, and UAT. Humans own the decisions, releases, and outcomes.
Business problems first
The factory exists for one reason: move from operational pain to working software faster, without pretending that AI removes engineering judgment.
Customers send documents by email. Staff retype data between systems. Support crosses languages. Reporting depends on spreadsheets. The bottleneck is real work, not an abstract AI use case.
Useful AI sits inside a workflow: forms, permissions, data extraction, review screens, integrations, audit trails, and the places where a human still needs control.
Algebra turns the business problem into a working product surface: internal tool, customer portal, automation, document workflow, AI assistant, or SaaS prototype.
What we build
The strongest projects start with a workflow that already costs time, money, quality, or customer trust.
Extract, classify, summarize, translate, review, and route documents without losing human oversight or auditability.
Replace spreadsheet-and-email processes with small, focused software that gives teams one reliable place to work.
Launch customer portals, SaaS prototypes, assistants, and workflow automation with model behavior designed around real user tasks.
Delivery system
Specialized agents create leverage. Experienced engineering practice decides what ships, how it ships, and what evidence is good enough for production.
Architecture, development, security, QA, and UAT personas help explore, build, review, and test faster. Deployment discipline, rollback paths, observability, and client outcomes stay human-owned.
Map the domain, integration points, data flows, risks, and delivery slices before code starts drifting.
Build the user-facing product, APIs, model tooling, automation, and deployment path in tight iterations.
Threat-model auth, data access, prompt/tool boundaries, audit trails, and operational failure modes.
Use automated checks, eval datasets, regression tests, and browser verification to keep AI behavior shippable.
Close the loop with realistic user tasks, acceptance evidence, and the business result the software must create.
Agents accelerate the work. Senior engineering judgment owns deployment, rollback, observability, and handover.