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sassystud.io

You need a bespoke, high-performance AI system that agency automations won’t cover and your teams can’t design and deploy quickly enough ?

An AI studio is an AI and software engineering pure player able to handle every kind of industry need.

This new business model is made possible by a global view of complex systems, translated into a unified design methodology.

  • Presentation and scoping video call
  • Requirements gathering and challenge, to validate specs together,
  • Free MVP within one week
  • Full system deployed to production two weeks later

BESPOKE AI SYSTEMS TO THE HIGHEST STANDARDS

AI core and system

  • Multi-variant SaaS, conversational, A2A, MCP design
  • System specification from challenged requirements
  • Regulatory requirements integrated in code without intermediation
  • UI/UX design, human-in-the-loop, ergonomics, safety engineering
  • Reactive systems, long-run, event-driven, multi-agent
  • Dynamic multi-agent systems (Program synthesis, ADAS / harnessing)
  • Performance, evaluation, model training
  • All types of algorithms (SE, big data, ML, graphs)
  • Production systems, real-time, scheduling, model-checking

Connected aspects

  • Scalable cloud VM or container deployments
  • Production standards, security, observability, explainability, traceability
  • Permission management, agentic security, confidentiality constraints
  • Model cost and local hosting

Execution speed

  • Clean architecture (python dspy), no data/ML javascript overhead or langchain-style design overhead
  • Lean team, no management overhead
  • System connected in parallel with your existing stack
  • Unified methodology for design and production rollout; improvements on one client product benefit others

A FLEXIBLE, FLUID PARTNERSHIP

Product lifecycle

  • Audit when needed, neutral assessment, ROI sizing
  • Client provides a complete dataset for MVP design (one week)
  • Client testing and feedback before optional commitment
  • Production-ready evaluated system delivery with access provided (one week)
  • Frontend design or integration with existing stack
  • Corrective maintenance included; evolutionary maintenance for a fraction of subscription

Client relationship

  • Access to a team of AI and data full-stack engineers
  • WhatsApp hotline direct to designers/maintainers
  • GCP infra and application-layer SLA commitments
  • Fixed-fee or usage-based billing
  • Possible Google AI marketplace channel (security control, billing, GCP credit commitments)

An example of an industrial agentic system

We built this PoC for the eVTOL market (potentially autonomous in the near term) to show how AI agents can run an air mission and steer it through the usual automation stack.

It required a real-time approach and IPC-style messaging across four agents. Open our presentation from the EVTOL FTC meeting on 4 November 2025: brake-system failure, agent analysis, procedures applied, diversion to a new airport.

The case shows how, contrary to some received ideas, these systems meet expectations precisely, and not through unbridled creativity, when requirements are solid and constraints are explicit.

Page 1 — An example of an industrial agentic system

Our studio has six years of experience in language models and has also built systems such as :

  • Deep Research & Advanced RAG : Complex document analysis engines, multi-source research, and high-precision semantic extraction

  • Health Tech & Media Intelligence : Ingestion and structuring pipelines for medical and publishing sector data

  • Algorithmic Trading & Finance Agent : Predictive analysis models, time-series processing, and financial decision support

  • Propale Agent : Agent that drafts a commercial proposal automatically after a call,

  • Excell-killer Agent : It was time to move forward on how you present your data, conversationally !

So what MVP would you put in front of your CEO or sales team next week ? Find many anticipated use cases for agentic industry under the Use cases tab !

See also

REFLECTIONS & USE CASES

Build vs buy

In-house or vendor build, versus an AI studio. Microservices, modular monolith, modular microservices

Market fit

Topics often framed as blockers: adoption, complexity, strategy. Our approach

Use cases

Studies, market analyses, and many use cases to inform your thinking, by sector or function

THREE NEEDS

AI for your processes

Audit your business, outside perspective on ambition and what is possible. Agentic AI aligned with regulation and your business reality

AI for your customers

Customer-facing IT: let customers query your data directly. Support 3.0, conversational, online presence

AI in your product

Software vendor ? Integrate agentic AI in your product to the highest standards, with fast execution