SaaS architecture
Multi-tenant platforms with tenancy, auth, billing and background jobs decided up front and written down as architecture records.
Senior humans, AI-native speed.
The team that pitches the work is the team that ships it.
01The eight services
Eight ways we build with you.
- Flagship
Applied AI & Agentic Systems
AI features, agents, and LLM systems that ship to production, not demos that die in staging.
- Agentic systems & multi-step orchestration
- Retrieval & RAG architectures
- LLM evaluation, cost & latency optimization
- MLOps & production observability
Anchor caseRead the caseDelosEnterprise AI shipped in 14 weeks · media + political intelligence in one platform · tiered model routing
A half-day AI Readiness Assessment, an ROI-ranked map of what to build first, and a fractional CTO when you need one — honest even when the answer isn't us.
- Half-day AI Readiness Assessment: your stack, data and team, scored honestly
- ROI-ranked workflow map: which process to automate first, and which to leave alone
- Fractional CTO & AI Lead embedded in your leadership cadence
- Build, buy or wait recommendations — including 'not Streaver' when that is the answer
Anchor caseRead the caseDelosEmbedded as fractional CTO from a whiteboard · architecture frozen in week 2 · 23 architecture decision records · live in 14 weeks
Idea to production: web, mobile, backend, by the same team, end to end.
- Web & mobile (React, Next.js, React Native)
- Backend & APIs
- Data layer & integrations
- Continuous shipping & guardrails
Anchor caseRead the caseSupreme Golf~$1M product built for ~$125K (8× cost leverage) · non-technical CEO shipping to production
Ingestion, orchestration and warehousing that keep the data your product and your AI depend on accurate, on time and auditable.
- Ingestion & orchestration (Airflow, queues, event streams, third-party feeds)
- Warehousing & modelling (Snowflake, PostgreSQL, RDS) with one source of truth
- Data quality, lineage & audit logging for regulated data
- AI-ready data: retrieval indexes, model-cost telemetry, eval datasets
Anchor caseRead the caseAgoraDataLegacy PDI jobs moved to Airflow · Snowflake + RDS pipelines kept reliable · +35% productivity · SOC-2 audit-logged data
Discovery, prototyping, and design that turn ambition into a buildable product.
- Discovery sprints (2–4 weeks, fixed scope)
- Prototyping & validation
- UX & interaction design
- Design systems & product patterns (Tailwind, shadcn/ui, component libraries)
Anchor caseRead the casePrisma8 scattered tools → 1 immersive classroom · design-first build reviewed live with kids and educators · ★★★★★ from learners, educators and the owner
Keep what you've built running, scaling, and safe, especially when buyers or auditors ask the hard questions.
- Cloud architecture (AWS, GCP)
- CI/CD & deploy automation
- Observability, incident response & managed on-call
- Compliance posture (GDPR, Swiss nDSG, SOC 2 readiness)
Anchor caseRead the caseAgoraDataFirst-time SOC-2 Type 2 · 4× faster loan processing · +35% productivity
Senior engineers embedded in your team, vetted for technical and cultural fit, accountable like founders.
- Senior embedded engineers (no junior bait-and-switch)
- Technical leadership & architecture review
- Dedicated squads with named tech leads
- Long-term partnership orientation
Anchor caseRead the caseAIA48% lower costs across six mission-critical products · 24/7 ownership · multi-year embedded engagement
Senior engineers deployed inside your company who own an outcome end to end: rescue it, take it over, ship it.
- Rescue & takeover of undocumented systems when the team that built them is gone
- Outcome ownership: a named senior engineer accountable for the result, not the ticket
- Inherited codebases understood in days and shipping to production in the first two weeks
- Documentation, runbooks and a clean hand-back built in from the first commit
Anchor caseRead the caseArkeo AICTO gone, 3 production AI agents dark · all 3 restored in 3 months · platform documented and handed back
02What we build
Eight things we build, and where we’ve built them.
The services are how we work with you. These are the things you actually need built — each one linked to the client work that proves it.
- Via Full-Cycle Product Engineering
- Via Product Discovery & Design
UX & product design
Discovery, prototypes and interaction design by product designers who sit inside the engineering squad, not in a separate studio.
- Via Full-Cycle Product Engineering
Integrations
Connecting the systems you already run without trading one lock-in for another: payments, CRMs, event platforms, data providers, messaging.
- Via Data Engineering & Pipelines
Data pipelines
Ingestion, orchestration and warehousing that keep the data your product and your AI depend on accurate, on time and auditable.
- Via Applied AI & Agentic Systems
AI & agents
Agents, copilots and LLM systems that reach production, with evals, cost control and observability from the first week.
- Via Platform, DevOps & Security
Production infrastructure
Cloud, infrastructure as code, CI/CD, observability and the compliance posture auditors ask about, run rather than only set up.
- Via Full-Cycle Product Engineering
Ongoing iteration
After launch we stay: weekly shipping on a monthly retainer, quarterly reviews, and a hand-off you can take up at any time.
- Via AI Strategy & Readiness
AI consulting
An honest read on what to build first: a readiness assessment, an ROI-ranked workflow map, and a fractional CTO when you need one.
03Two ways to start
How most clients start.
These are entry points, not services — two honest ways into the lines above. Neither is a packaged “AI workshop.” Both lead to a real partnership.
Productized · closed-scope
Agentic Dev Workflow Setup
We set up the system that lets your non-technical founders and teams build and ship safely — the same workflow Ryan Ewers used to ship Supreme Golf as a non-technical CEO. You get the workflow. You keep shipping. We’re there when you need expert advice.
See it in practiceWant to lead that effort yourself and get to a production-ready prototype fast, without committing a big engagement fee before you know it launches? The same workflow runs as a managed service you drive. Read: Managed Agentic Delivery
Half day · fixed fee
AI Readiness Assessment
Half a day with your leadership and the people who run the process, then a written read-out within the week: what to build first, ranked by return, and what would have to change before it pays off. Honest even when the answer isn’t us.
Read AI Strategy & Readiness04Honest register
What we don’t pretend.
No bench swap-out
The seniors who pitch your work are the ones who ship it.
No bench, no bait-and-switch, no junior dev parachuting in three weeks after kickoff.
No AI magic theater
We won't quote you for AI we can't ship.
If a foundation model alone solves your problem, we'll say so — and probably won't quote you for it.
No hours theater
We don't bill hours for ceremony.
If a task takes two days less than estimated, you pay for two days less. We're optimized for output, not timesheets.
No ghosting
We don't disappear after launch.
Our average partnership is 4+ years — because clients ask us to stay, not because contracts trap them.
05The story, in words
How we work, chapter by chapter.
The narrated story behind the invitation at the top of this page, written out for anyone who’d rather read than watch.
- 01
The promise
Every software project starts with a promise. Too many dry up somewhere between the pitch and the launch, like a stream cut too deep for its banks. This is the story of a team that takes it seriously.
- 02
Who we are
Meet the colony. Streaver: a team of about forty in Montevideo, Uruguay, building since 2019. Nine in ten of us are engineers. We deliver results, and we happen to do it with excellent engineering, so your business thrives in whatever comes next.
- 03
Read the stream
Before a beaver lays a single branch, it reads the stream. We start the same way: close to your team, learning how your business really flows, until the right solution becomes obvious. And the people who listen are the ones who build.
- 04
Build
Only just then, we build… one deliberate branch at a time. Discovery and design, to choose the right spot. Product engineering across web, mobile and backend. And data pipelines your product can actually trust.
- 05
AI
As the light goes, the valley wakes up. AI features and agents spread through your business, connecting your systems and working alongside your people. Real impact in production, not demos that die in staging. Not sure where to start? We'll assess your readiness, and tell you honestly.
- 06
Run & scale
Then the storm comes, and the dam holds. Platform, DevOps and security keep it standing. And when you need more hands, senior engineers join your team, or step inside your company to own an outcome end to end.
- 07
Proof
Promises are cheap, so watch the water rise. We're a Claude partner, building on the modern stack your team already knows. The results show on the stake: products in weeks, not quarters, at a fraction of what they used to cost. Go and check our current engagements with any of our partners: they will be happy to tell you their experiences.
- 08
Culture
And life comes back to the valley. One lodge, one office, one close team. We work side by side, so ideas move fast and nothing gets lost between us and you. And our proven process lets us innovate with AI without gambling your product, grounded in what we do best: building solutions that last.
- 09
Let's talk
Our average partnership lasts more than four years, because clients ask us to stay. One dam can bring a whole valley back to life. So I wonder… What are we building now together?
About the painting
Painted with AI, in homage to Juan Manuel Blanes.
Every frame of this valley is painted live in your browser, by code an AI wrote, in two passes. For the second, we asked it to paint the way Juan Manuel Blanes did. The painting is not his work; his signature is here as a tribute.
Who he was
Juan Manuel Blanes (Montevideo, 1830 – Pisa, 1901) is Uruguay's best-known painter of the nineteenth century, often called “el pintor de la patria”, the painter of the homeland.
Before he was known at home he worked in Entre Ríos for General Justo José de Urquiza, decorating the chapel of the Palacio San José. A Uruguayan government scholarship then took him to Florence in the early 1860s to study under Antonio Ciseri.
Back in the Río de la Plata he painted in the realist, academic tradition: history paintings that gave a young country its images of itself, portraits, and scenes of gauchos and rural life. His work is the permanent collection of the Museo Juan Manuel Blanes, in Montevideo's Prado.
Among the works he is remembered for:
- Un episodio de la fiebre amarilla en Buenos Aires (1871)
- La revista de Rancagua (1872)
- El juramento de los Treinta y Tres Orientales
- Retrato de Doña Carlota Ferreira de Regunaga (1883)
- Artigas en la puerta de la Ciudadela (1884)
What the valley borrows from him
- His skies
- A big luminous dome from pale cerulean down to a warm horizon, under a faint golden glaze, with cumulus that sit on a flat, shadowed base.
- His crimson
- The colony's neckerchiefs are mostly the red of his gauchos' ponchos, now and then ochre or indigo.
- His countryside
- Olive grassland, ochre earth, hills gone blue with distance, a palenque fence by the lodge, and the ombú, the great shade tree of the Uruguayan plain.
We're a studio from Uruguay. Asking the valley to be painted the way he saw our countryside was our way of signing it with home.
- Portrait: photograph, c. 1872, anonymous. Biblioteca Nacional, Montevideo. Public domain, via Wikimedia Commons. Source
- Signature: from “Demonio, mundo y carne” (Museo Blanes). Photo by TitiNicola, CC BY-SA 4.0, via Wikimedia Commons; cut out and straightened by Streaver, shared under the same licence. Source
06Pick your conversation
Pick the conversation that fits.
Building from scratch? Non-technical and need a partner who'll think with you, not just ship tickets? Start with me.
Let’s talk with Larry
Want to know how the work actually gets done — team shape, scope, cadence, what ships in the first month? Start with me.
Let’s talk with Nico