Fresnosa Technologies
Fresnosa Technologies

Clear strategy & hands-on execution,
no endless firefighting.

We step in as senior engineering partners — stabilizing delivery, hardening development pipelines, and giving your team the breathing room to ship.

Let’s talkHow we work

Our principles

How we work

Clear scope → quick milestones → weekly demos

We break big problems into small, fundable steps — so you see progress early and often.

Production-grade code, tests, and docs

No prototypes that fall apart in production. Everything we ship is tested, documented, and ready to scale.

Collaborative, proactive communication

We integrate with your team and stakeholders, share risks early, and keep you in the loop.

Brought in by VPs of Technology, trusted by CEOs to scale platforms at Teachaway, Skooli, Copperleaf and more.

Where we fit best

When growth is blocked by tech

  • Need to scale, modernize, or launch fast.
  • Unsure which technical choices won't waste time or money.
  • No senior technical partner to own delivery.

What we do: Own strategy and delivery so your team can focus on customers, growth, and fundraising — with clear plans and steady execution.

Talk strategy

When delivery pressure is crushing the team

  • Juggling code, infra, and management with slipping timelines.
  • Need standards and delivery discipline without burning out the team.
  • Big roadmap, not enough senior bandwidth.

What we do: Act as senior engineering partners — bringing order, momentum, and breathing room while the roadmap keeps moving.

Get delivery leverage

Selected work

Source-aware RAG pipeline across social + web

Creators platform

Problem: fragmented content across TikTok, Instagram, YouTube, and websites made AI answers inconsistent. Solution: designed a normalized, source-aware knowledge base with scalable connectors and background syncs. Outcome: reliable ingestion powering RAG in production.

  • Consistent metadata + attribution improved answer quality
  • Scalable ingestion and retrieval for new sources
RAGLLMs (OpenAI, Anthropic, Gemini)Text to Speech (ElevenLabs, Deepgram)Text to Video (Studio D-ID)Next.jsTypeScriptNestJSPostgres (+pgvector)RedisQueues (RabbitMQ, QStash)S3/AWSDocker

Platform modernization and scale-out for education products

Education platform

Problem: legacy systems slowed growth and increased operational cost. Solution: modernized core services, improved classroom concurrency, unified APIs, and hardened infra. Outcome: more stable releases, improved customer experience, and faster platform operations.

  • Lower change fail rate and improved release cadence
  • Better tutor/student performance at higher concurrency
AWSKubernetes/EKSAPI designObservabilityCI/CD

Decision analytics platform architecture and delivery

Decision analytics platform

Problem: needed to evolve toward multi-tenant SaaS while handling heavy asset-management workloads. Solution: designed and implemented service architecture, asset search for large hierarchies, and led delivery on key modules. Outcome: enabled scalable offerings and faster product delivery.

  • Architecture aligned to multi-tenant goals
  • Faster search and improved module ownership
KotlinSpring BootHibernatePostgreSQLAngularRxJS

Enterprise delivery acceleration and modernization

Problem: large programs struggled with delivery speed and quality across teams. Solution: introduced standards, CI/CD, and service decomposition; partnered with client engineering leaders to drive adoption. Outcome: higher deployment frequency and a more predictable delivery cadence.

  • Improved deployment frequency and reliability
  • Clearer ownership and collaboration across teams
ArchitectureCI/CDService designCoachingProgram delivery

What we help you achieve

Launch and scale with confidence

  • Ship MVPs and scale on modern stacks (Next.js, TypeScript, Vercel) without fearing rework.
  • Translate vision into a realistic, fundable roadmap with clear milestones and owners.
  • Transparent progress, risk management, and steady cadence.

Keep the roadmap moving

  • Offload architecture, RAG reliability, and infra decisions to senior partners.
  • Stabilize delivery with standards, CI/CD (Docker, GitHub Actions), and async workflows (QStash, Inngest/Temporal).
  • Create breathing room: fewer fires, better hiring, clearer ownership across teams.

Raise the engineering bar

  • Source-aware knowledge pipelines (RAG) that are reliable in production.
  • Solid data + caching layers (Postgres, Redis) and pragmatic service design.
  • Less thrash, more shipping — better collaboration across product, design, and engineering.

Ready to move forward?

If you're scaling, modernizing, or under delivery pressure, let's map the next 90 days and make it real.

Book an intro chat