A senior software studio

We build the software
companies bet on.

AI systems, full products, and the architecture underneath them - designed, engineered, and shipped by people who have been building production software for more than twenty years.

Start a conversation See how we build →
Operating since 2002 Florida, USA - working worldwide
AI systems strategy to production Architecture the load-bearing layer Product engineering idea to app store Quantitative systems data, risk, analytics
01What we do

Four disciplines. One standard.

We keep the team small and senior on purpose. Every engagement gets people who have designed, built, and operated real production systems - because the work that reaches us is usually the work someone else got wrong.

AI systems that earn their keep

LLM applications, intelligent agents, and automation - built with the evaluation, the guardrails, and the failure modes designed before the demo, not after.

  • LLM product and agent engineering
  • Orchestration, tooling, and integration architecture
  • Evaluation, guardrails, and observability

Architecture that carries the load

The unglamorous layer that decides whether your product scales or stalls. We design data models, service boundaries, and platforms that stay fast and coherent as everything around them grows.

  • System and platform design
  • Data modeling and database performance
  • Scalability, reliability, and cost reviews

Products, end to end

From first sketch to app store. Design systems, mobile and web apps, APIs, and infrastructure - one accountable team, shipping something you are proud to put your name on.

  • Mobile and web product builds
  • Design systems and UX engineering
  • API, backend, and infrastructure development

Quantitative and data systems

Our roots are in actuarial science and the mathematics of finance. When the problem is statistical - pricing, risk, forecasting, analytics - we have built the pricing, risk and forecasting systems ourselves.

  • Statistical modeling and analytics
  • Financial and risk systems
  • Data pipelines and reporting platforms
02How we build

Architecture is a decision, not a diagram.

Most software fails slowly - a shortcut here, an undocumented decision there, until nobody can change anything safely. Our entire method is built to catch that failure mode before it starts.

Reference system topology: clients, API layer, domain services, real-time bus, AI services, data Clients iOS / Android / Web API layer typed contracts / auth Domain services business logic Real-time bus events / live state AI services agents / evaluation Data postgres / cache // every layer: typed contracts · architecture tests · CI quality gates · observability // fig. 02 / reference topology - every system gets its own
01

Diagnose first

We start with the system you actually have - code, data, constraints. No proposals until the problem is precisely named.

02

Design the keystones

A handful of choices determine everything downstream. We find them, argue them in the open, and write them down first.

03

Build in waves

Work lands in small, verified increments - tested, documented, reversible. You are never asked to trust a big bang.

04

Harden mechanically

Contracts, architecture rules, and accessibility standards are enforced by automated gates that fail the build - not by memory.

05

Hand over clean

Docs that match reality, tests that explain intent, and a codebase your own team can extend without calling us.

03Our standards

The bar we refuse to lower.

Quality is a claim. These are the rules. The specific, non-negotiable ones our work actually runs on - the kind you only adopt after seeing what happens without them.

Documentation is the source of truth

Architecture documents define the system; code follows them. When the two disagree, one gets fixed the same day - and it is usually the code. Nothing lives only in someone's head.

Tests are contracts, not chores

A failing test is never silenced by weakening the assertion. Tests encode promises about behavior, and promises do not get renegotiated at five o'clock on a Friday.

No invisible debt

Every shortcut is written down, priced, and scheduled. Debt you can see is a decision; debt you cannot see is a surprise with a deadline.

Senior people, hands on

Nobody sells you the A team and staffs the B team. The people you meet in the first conversation are the people who build your product.

04Portfolio

Selected work.

Most of what we build ships under our clients' names. Here is what we can show.

Built in-house

AI coding workspacePrivate

CodeTeem

Our own workspace for AI-assisted engineering. Coding agents from different AI providers work side by side in one desktop app, each following the project's charter and drawing on the same long-term memory. Charters are re-delivered to every provider after context compaction, with proof of delivery, so a Claude or Codex agent opens every task with the same rules and the same project knowledge.

Agent infrastructurePrivate

Agent Memory Bridge

Long-term memory for AI agents. Every working session is captured, summarized and folded into one searchable knowledge base that every agent, on every machine, checks before it starts. Sessions are searched by keyword and by meaning before new work starts, and a merge engine reconciles edits from different machines line by line.

We have built for other companies too. References are available on request. Ask for references →

05Ways to work together

Three ways in.

Every engagement is scoped in plain language, with named deliverables and a first milestone you can evaluate before committing further.

Advisory

Architecture reviews, AI strategy, and technical due diligence. A senior outside brain for your hardest decisions - measured in days and weeks, not quarters.

Starts with a conversation and a walkthrough of your system.

Embedded engineering

Our engineers inside your team - shipping alongside your people while raising the bar on architecture, code quality, and delivery discipline.

Starts with a scoped first wave with named outcomes.

Full product build

You bring the ambition; we bring the entire machine - product design, architecture, engineering, and launch. One accountable partner from idea to production.

Starts with a design sprint and a technical blueprint.
06The studio

Small by design. Senior by policy.

Dynamiclly is an American software house with roots going back to 2002. Our background runs through actuarial and financial platforms, enterprise databases, and large production systems - and now through the modern AI stack.

We built Dynamiclly around one observation: a small team of genuinely senior engineers, armed with modern tooling, outbuilds a large team of average ones. So we stayed small on purpose - no account managers, no handoffs.

What you get instead is uncomfortable honesty about scope, an architecture that will still make sense in five years, and working software at every milestone.

2002in business since
4disciplines, one team
Zero juniorsno handoffs, no B team
Florida, USAworking worldwide
07Start a conversation

Tell us what has to be right.

The best first step is a short conversation about the system you are trying to build - or the one that is fighting back. No pitch deck, no salespeople. You will talk to an engineer.

contact@dynamiclly.com
An engineer reads every message and replies.