A senior product team for founders who need the full build: UX, full-stack, AI, evals, guardrails, deployment, and SOC2 readiness.
Sprint $4,999 · Security Assessment $2,499 · Fractional CTO $9,999/mo
Engineers from
Built for
Selected Work
Agentic Agency
In the last 2 months, we turned workflows into reusable skills and packaged them as plugins. That's how we run delivery, content, QA, and outbound as coordinated teams of agents.
Product gallery
Five recent builds are presented below as an interactive board rather than a long scroll rail. Each case opens into a larger mounted view with real screenshot detail.
Active case study
Sustainability SaaS
01 / 05
Emissions Dashboard
Full-stack carbon accounting platform with real-time emissions tracking, supplier management, and ESRS-compliant reporting.
Highlight
Real-time emissions rollups
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Supplier mix explorer
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ESRS-ready reporting exports
Browse the five systems
Click or use the arrow keys to move through the active case study.
AI MVP Reality
Demos are easy. Shipping AI users can trust takes guardrails, evals, and latency budgets that hold up outside the lab.
Design for the edge, not the demo.
Budget latency before features.
Treat evals as a live operating system.
Local TTS and VLM quality lag behind cloud, and multilingual coverage stays uneven for privacy-first teams.
The first compromise shows up in quality, coverage, and trust.
Cold starts and multi-hop pipelines blow latency budgets, making real-time experiences feel unstable.
Fast demos become slow products the moment load rises.
Agentic flows loop or break because outputs are not deterministic. Debugging turns into archaeology.
The system looks clever until one branch starts to drift.
Teams want evals that reflect user feedback and business KPIs, not only offline accuracy scores.
Without live signals, teams optimize the wrong thing.
Provider APIs ignore parameters and rate-limit unpredictably. Fallbacks stop being optional.
Reliability depends on contracts you do not control.
Generative UI and content pipelines drift toward hallucinations without tight constraints.
Loose generation erodes consistency faster than teams expect.
We ship MVPs fast without brittle AI. Retrieval, evals, observability, and cost controls are part of the build.
Scope lock
Plan and commercial frame get nailed before delivery expands.
Core ship
Real product logic, integrations, and data model land in week two.
Live handoff
Launch, regression pass, and production-ready transfer happen in week three.
Week sprint
Brief, build, and launch.
The commercial frame, delivery pace, and operating guardrails are set before the build starts stretching.
Timeline
3 weeksfrom discovery to live MVP
Commercials
Fixed pricescope locked before build expands
Guardrails
Built inretrieval, evals, tracing, budgets
Week 1
Frame the product
Week 2
Ship the core loop
Week 3
Harden and launch
Proof-first delivery
Sprint rhythm
Fewer meetings, fewer mystery phases. Each week has a visible job and a visible outcome.
We lock scope, user flow, and system shape before code starts branching.
The MVP turns real: product logic, schema, integrations, and the main user path.
We run the checks, deploy production, and hand over something usable on day one.
We lock scope, user flow, and system shape before code starts branching.
The MVP turns real: product logic, schema, integrations, and the main user path.
We run the checks, deploy production, and hand over something usable on day one.
Built into the sprint
These are not add-ons after launch. They are part of the delivery baseline.
Chunking, re-ranking, and citations keep answers tied to source material.
Golden sets, regression checks, and red-team prompts keep quality measurable.
Schemas, tool contracts, and validation loops keep agent output predictable.
Routing, streaming, caching, and fallbacks keep spend and latency in check.
Prompt and tool traces make debugging and iteration much faster.
State, retries, and idempotent tools keep multi-step runs reliable.
Operations dashboard
Shared memory, live traces, and runtime signals make the system legible while it is running.
Prompts, tools, and memory changes stay visible when runs hop between agents.
Queues, latency, and active jobs are readable while the product is running.
Retries, fallbacks, and budgets are designed into the runtime instead of added later.
Shared memory
Cross-agent context stays attached
Runtime trace
Prompts, tools, and jobs in one view
Control layer
Latency and cost boundaries stay explicit
Structure & Governance
We architect your AI infrastructure using a multi-layered approach. A central orchestrator directs specialized teams operating on top of a unified, compliant data plane.
Services
Fixed scope when the work is bounded. Retainer when leadership matters. Custom scope when the brief needs room.
Retainer
Monthly
$9,999/mo
Funded teams scaling AI products
Sprint
3 weeks
$4,999
Solo founders and early teams shipping v1
Assessment
1 week
$2,499
Pre-Series A teams entering enterprise
Custom
Scoped
Let’s talk
Enterprises and complex builds
Retainer
Senior technical leadership for AI products: architecture, roadmap, hiring, and reliability.
Best for
Funded teams scaling AI products
For teams that need a driver.
Free architecture review on the first call
Sprint
Ship a product-ready MVP with full-stack architecture, AI guardrails, and automated testing.
Best for
Solo founders and early teams shipping v1
Limited slots. Fixed scope, fixed price.
We scope your MVP on a 20-min call
Assessment
VAPT and security architecture review with a prioritized remediation roadmap.
Best for
Pre-Series A teams entering enterprise
Upgrade to full SOC2 certification from $49,999.
Free 15-min security review on the first call
Custom
Multi-role AI workflows, complex integrations, mobile, or enterprise requirements.
Best for
Enterprises and complex builds
We’ll quote after a short call.
Free discovery call — no commitment
