Services
Senior-led product engineering across product, platform, and AI — designed for clarity, ownership, and long-term system health.
Ways we engage
Choose the engagement that fits your stage.
Three ways we partner — designed for clarity, ownership, and calm delivery.
Build & Scale
From early product to production-grade platform — with senior decision-making and clear guardrails.
- Architecture + roadmap alignment
- Product engineering + UX
- Reliability and rollout safety
Stabilize & Evolve
For systems that need calm operations, predictable releases, and deliberate modernization.
- Observability + incident readiness
- Release discipline and quality gates
- Incremental modernization
Embed Intelligence
AI and data capabilities designed to reach production safely — with humans in the loop.
- Data readiness + governance
- LLM/ML integration patterns
- Evaluation, monitoring, and fallbacks
Core services
Product, platform, and AI — delivered with guardrails.
Concrete capabilities that show up in real delivery: decisions written down, safe rollouts, and systems that stay maintainable.
Product
Product engineering
Senior-led delivery of web products — from foundations to iteration.
- UX + design systems
- Front-end + back-end delivery
- Quality gates and production readiness
Workflows & operations
Systems for real business processes — approvals, queues, roles, and audit trails.
- Workflow engines and orchestration
- Role-based access patterns
- Operational dashboards and reporting
Document-heavy platforms
Document generation, templates, and signing flows for regulated operations.
- Template systems
- Document assembly
- PDF generation pipelines
Platform
Architecture & modernization
Move from brittle systems to maintainable architecture without breaking the business.
- Service boundaries and interfaces
- Incremental migration plans
- Performance and reliability work
Observability & resilience
Telemetry and operational practices that reduce surprises in production.
- Tracing, metrics, logging
- Runbooks and incident playbooks
- SLO thinking (as applicable)
Security foundations
Practical security patterns integrated into delivery — aligned to real constraints.
- AuthN/AuthZ patterns
- Secrets and configuration hygiene
- Threat-aware reviews
AI
AI product integration
LLM features that fit real workflows — with evaluation, safety, and fallbacks.
- RAG patterns and retrieval design
- Prompt + tool workflows
- Quality evaluation and monitoring
Data readiness
Contracts, quality checks, and governance clarity so AI doesn’t stall in production.
- Data modeling and contracts
- Latency + reliability constraints
- Access and governance guardrails
Automation with humans-in-the-loop
Assistive automation designed for accountability, auditability, and safe rollouts.
- Approval and review loops
- Audit trails
- Feature flags and staged rollouts
What you get
High-signal artifacts, not hand-wavy updates.
The outputs that keep teams aligned: written decisions, clear boundaries, and release plans that reduce surprises.
- Written scope and constraints (what we know / what we don’t)
- Decision log: trade-offs, ownership, and rationale
- Architecture notes and interface boundaries
- Release plan: rollout, rollback, and validation signals
- Operational readiness: telemetry, dashboards, and runbooks (as applicable)
Technology & delivery
Modern stacks, pragmatic delivery.
We work with modern web stacks and real production constraints. The goal is simple: systems that are maintainable, observable, and safe to change.
Good fit
Partnerships that work well
- Founders and product leaders who want senior ownership, not task execution.
- Teams building regulated or operationally complex products (fintech, workflows, documents).
- Companies that value written clarity, predictable releases, and long-term maintainability.
Not a fit
When we should not start
- Projects seeking the cheapest build or purely staff augmentation without ownership.
- Teams that need aggressive timelines without space for guardrails and quality gates.
- Work that requires guaranteed outcomes or fixed metrics without discovery.
FAQ
Practical answers.
A few common questions — answered without sales language.
Do you take full ownership or work alongside our team?
Both. We can lead delivery end-to-end or embed with your team. In both cases, we keep decisions written down and progress visible.
Can you start with a small engagement?
Yes. Many partnerships start with a short discovery + plan, then expand into delivery once the scope and constraints are clear.
Do you work with existing stacks and legacy systems?
Yes. We prefer incremental modernization with safe rollouts rather than big-bang rewrites.
How do you handle AI work without hype?
We focus on production fit: data readiness, evaluation, monitoring, and fallbacks — so AI features remain reliable and accountable.
Where can we see examples of shipped work?
We share relevant examples during a walkthrough. You can also browse highlights on the case studies page.
Next step
Let's talk about your product.
Share what you're building and where things feel unclear. We'll respond with thoughtful next steps and the right people to continue the conversation.