Diagnostic Sprint
5 days
Outcome: Decision‑grade clarity
Architecture map, bottlenecks, risk list, “first 3 moves”, and a time‑boxed PoC or fix.
Deliverables: Findings doc, prioritized plan, PoC repo, runbook v0, roll‑back plan.
CAD $6–9k fixed
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Forward Deployed
Engineering
as a service
We embed with your team to untangle systems, ship the right thing, and leave behind clear docs and calm operations.
Does your org look like this?
We’ve seen these problems at dozens of companies. Hover over each one to see how we solve it.
Deploy failures killing releases
31% of deployments fail, rollbacks take hours, and the team is afraid to ship
How we fix this
We implement CI/CD with canary deploys, automated rollbacks, and comprehensive monitoring. Deploy failures drop to <5%.
"One person who knows" risk
Critical systems depend on tribal knowledge. When key people leave or go on vacation, everything breaks
How we fix this
We create comprehensive documentation, runbooks, and cross-train your team. No more single points of failure.
AI demos that don't ship
Prototype works great in Jupyter notebooks but dies when it hits production data and scale
How we fix this
We build production-ready AI pipelines with proper data validation, monitoring, and cost controls from day one.
Weeks to deploy simple changes
What should be a 5-minute fix turns into a multi-week saga of testing, approvals, and manual processes
How we fix this
We streamline your development workflow with automated testing, feature flags, and fast feedback loops.
Security as an afterthought
Secrets in plain text, no audit logging, and compliance gaps that could sink the company
How we fix this
We implement security best practices, secrets management, and compliance frameworks that actually work.
Infrastructure that doesn't scale
Everything works fine until it doesn't. Then it's 3am firefighting with servers that can't handle the load
How we fix this
We design scalable architecture with proper monitoring, auto-scaling, and incident response procedures.
Ready to fix these problems?
Book a 90-minute diagnostic call and we’ll show real fixes for your situation.
✓ 1 business day response time ✓ No sales pitch, just solutions
Programs
Deployment
4–8 weeks
Outcome: Productionized system
AI service, data workflow, or infra modernization.
Deliverables: Production repo, IaC, CI/CD, dashboards/alerts, security checklist, handover doc, training.
Fixed‑scope or weekly retainer
Stewardship
ongoing
Outcome: Calm operations
Roadmap lift and steady-state maintenance.
Deliverables: Monthly SLO review, release hygiene, incident reviews, backlog grooming, small features.
Retainer with response‑time SLA
Examples of our work
AI/ML Production
- ▸RAG pipelines with custom embeddings and cost optimization
- ▸LLM evaluation frameworks with golden datasets
- ▸Real-time inference APIs with sub-200ms latency
- ▸ML model monitoring and drift detection
Infrastructure Modernization
- ▸Legacy monolith decomposition into microservices
- ▸Kubernetes migration with zero-downtime deployment
- ▸Infrastructure-as-code with Terraform and GitOps
- ▸Observability stack with OpenTelemetry and Grafana
Data & Analytics
- ▸Real-time data pipelines with Apache Kafka
- ▸Data warehouse modernization and migration
- ▸ETL optimization reducing processing time by 70%
- ▸Data quality gates and automated validation
How we work: Our 7-week process
1
Discovery
Days 1-2
Technical findings document
- ●Deep-dive interviews with engineering team
- ●Architecture review and dependency mapping
- ●Performance bottleneck identification
- ●Security and compliance assessment
2
Design
Days 3-4
Implementation plan with timeline
- ●Solution architecture design
- ●Implementation roadmap creation
- ●Risk analysis and mitigation planning
- ●Technology stack recommendations
3
Build
Weeks 2-6
Production-ready system
- ●Iterative development with daily check-ins
- ●Automated testing and CI/CD pipeline setup
- ●Performance monitoring and optimization
- ●Documentation and runbook creation
4
Handoff
Week 7
Complete ownership transfer
- ●Team training on new systems
- ●Knowledge transfer sessions
- ●Monitoring and alerting setup
- ●Support procedures documentation
Book a diagnostic
Get your custom roadmap in 5 days
Case Studies
AI-Driven Data Enrichment
Mid-market EdTech Platform
CHALLENGE
Inconsistent datasets, uncontrolled inference costs, no production accuracy validation for content recommendations.
KEY RESULTS
+28%
Content classification accuracy
-55%
Cost per processed record
1.1s
Processing time (from 3.4s)
OUTCOME
RAG pipeline with custom embeddings, evaluation harness, and 48-page runbook for complete team handoff.
TIMELINE: 2 weeks embedded + deployment
Infrastructure Modernization
Logistics SaaS (500+ SMBs)
CHALLENGE
Erratic releases, 31% deploy failure rate, customer trust erosion from frequent downtime.
KEY RESULTS
6%
Deploy failures (from 31%)
10hrs
Lead time (from 4 days)
-65%
Incident count
OUTCOME
Full IaC transformation, CI/CD with canary deploys, SLO-driven monitoring. Team ships twice weekly.
TIMELINE: 5-day diagnostic + 8 weeks
Legacy System Carve-Out
National Membership Org
CHALLENGE
Decade-old PHP monolith blocking new analytics portal launch. Risk of breaking existing integrations.
KEY RESULTS
6 weeks
Ahead of schedule
0.6s
Page loads (from 1.9s)
-42%
Legacy system load
OUTCOME
Event-driven microservice with GraphQL API, bridge layer, zero downtime launch. Team contributing in 5 days.
TIMELINE: Carve-out + infrastructure
Full technical details available on call; all NDAs respected.
Capabilities
AI/ML in prod
RAG, evals, guardrails, vector stores, latency/cost tuning.
Platform & DevOps
IaC (Terraform), CI/CD, observability (OpenTelemetry/Grafana), SLOs, incident hygiene.
Data plumbing
Batch/stream, db migrations, quality gates, warehouse patterns.
App engineering
TypeScript/Node/Next.js, Python/FastAPI, Postgres/Redis, queues, evented systems.
No lock‑in stacks. We pick what your team can run.
Why Lagomorph Labs
We believe engineering should be obvious, efficient, and resilient. Our philosophy draws from design thinking, computational minimalism, and the conviction that good systems enable teams rather than constrain them.
Responsibility
Ownership & Impact
We take full ownership of outcomes and consider the long-term impact of every technical decision. Your systems become our responsibility until successful handoff.
Cleverness
Creative Problem-Solving
Quick thinking and intellectual agility to find elegant solutions. We solve problems creatively while maintaining system simplicity and team understanding.
Resilience
Antifragile Systems
We build systems that improve under stress. Feature flags, canary deployments, graceful degradation, and comprehensive observability as standard practice.
Versatility
Technology Agnostic
We adapt to your stack and constraints. No religious wars about languages or frameworks— we pick what your team can maintain and what solves the actual problem.
Minimalism
Computational Efficiency
Inspired by brutalist design principles: obvious affordances, minimal complexity, maximum utility. Every feature must justify its existence and maintenance burden.
Appreciation
Mindful Engineering
We recognize the beauty in well-crafted systems and express gratitude for working with teams who care about quality. Every engagement is approached with appreciation.
Our Design Philosophy
Single-Purpose Excellence
Each component does one thing exceptionally well. No Swiss Army knife solutions that compromise core functionality.
Obvious Affordances
Systems should make their capabilities immediately clear. No hidden features, complex navigation, or unclear interaction models.
Forward-Deployed Mindset
“We sit where the pain is and fix it.” Direct engagement with your team, your problems, and your constraints.
Documentation as Deliverable
Plain-English runbooks, architecture decisions, and operational procedures. You own the knowledge, not just the code.
“Indifference towards people and the reality in which they live is actually the one and only cardinal sin in design.”
About Lagomorph Labs
We’re a forward-deployed engineering consultancy that believes in obvious, efficient, and resilient systems. Our philosophy combines design thinking, computational minimalism, and the deep conviction that technology should enable teams, not constrain them.
A
Alex Spezowka
Founder & Principal Engineer
DevOps and product-minded engineer with a track record of shipping AI features, CI/CD pipelines, and calm operational systems for real companies. Believes in tools your team can own over flashy dead-ends.
Continuous Learning
We maintain an “evolving document” approach to knowledge—constantly learning, refining skills, and adapting to new challenges with intellectual curiosity.
Holistic Problem-Solving
We don’t just fix code—we consider the broader context: team dynamics, business constraints, and long-term maintainability of every solution.
Forward-Deployed
We embed directly with your team where the actual work happens. No ivory tower consulting— we sit where the pain is and fix it.
Team-Centric
Every solution is designed for your team to understand, maintain, and extend. We succeed when you no longer need us.
Documentation-First
Plain-English runbooks, decision records, and operational procedures aren’t afterthoughts— they’re core deliverables.
Our Core Belief
Great engineering is about responsibility, cleverness, resilience, versatility, and appreciation. We believe in building systems that are not just functional, but beautiful in their simplicity and robust in their operation.
Inspired by design thinkers like Dieter Rams, Marie Kondo, and Donald Norman— we apply their principles of purposeful minimalism to complex engineering challenges.
Our framework
No surprises, no lock-in. Simple pricing for real engineering work.
Diagnostic Sprint
$6–9k
Fixed price • 5 days
What you get:
- ▸Architecture analysis & bottleneck mapping
- ▸Prioritized action plan with ROI estimates
- ▸PoC or quick fix to prove the approach
- ▸Complete runbook and rollback plan
Full Deployment
$6–12k/week
Fixed scope • 4-8 weeks
What you get:
- ▸Production-ready system with monitoring
- ▸CI/CD pipeline and deployment automation
- ▸Team training and knowledge transfer
- ▸Complete documentation and handover
Ongoing Stewardship
$4–8k/month
Retainer with SLA
What you get:
- ▸Monthly SLO reviews and system health checks
- ▸Incident response with defined SLA
- ▸Roadmap planning and backlog grooming
- ▸Small features and maintenance work
What’s included in every engagement
✓ Simple MSA, no lock-in clauses
✓ All code and infrastructure yours to keep
✓ Plain-English documentation
✓ 1 business day response time
✓ Team training and knowledge transfer
✓ Post-launch support for smooth transition
CAD pricing. Rates adjust based on complexity and timeline requirements.
Book a diagnostic
Schedule a 90-minute call to discuss your specific challenges. We’ll provide actionable recommendations and a clear path forward—no sales pitch, just solutions.
What to expect
- ▸Deep-dive into your current architecture and pain points
- ▸Immediate recommendations you can implement
- ▸Clear roadmap with prioritized next steps
- ▸Understanding of time and cost estimates
✓ No commitment required ✓ All conversations confidential