fasteer. How it works IT
How Fasteer works · the control layer for enterprise AI

All your AI. One point of control.

Fasteer is an AI gateway. FRIO, its router, reads every request and picks the cheapest route that does the job: in-house when it can, out to external models when it has to. Two paths: for companies that use AI, and for software houses that build it in.

Who is this presentation for?
    Before we start · A test for Monday morning

    Ask yourselves these questions.

    1. 01 — ModelsHow many models do you use today, and who chose them?
    2. 02 — CostsHow much do you spend on AI, before the invoice?
    3. 03 — DataWhat data left the company this week?
    4. 04 — AgentsIf an agent makes a mistake, do you know what it did?

    If you hesitate on even one, you are not missing a policy. You are missing a layer.

    The scenario · 1/6 · Control hasn’t

    Governance has not grown with adoption.

    9%

    of large companies have structured AI governance, with defined responsibilities.

    15%

    have a structured AI Act compliance project.

    19%

    of workers who use AI stick to company tools. The others also use external AI.

    SOURCE — Osservatorio Artificial Intelligence, Politecnico di Milano, Feb. 2026

    The scenario · 2/6 · The question has changed

    Nobody asks whether to adopt AI anymore.

    71%

    of large Italian companies have at least one AI project. It was 59% in 2024.

    84%

    of large companies have bought generative AI licences. +31% in a year.

    +50%

    growth of the Italian AI market in 2025, to €1.8 billion.

    SOURCE — Osservatorio Artificial Intelligence, Politecnico di Milano, Feb. 2026

    The scenario · 3/6 · Spending accelerates

    Worldwide spending on AI models and platforms grows 63% in a year.

    $39B

    2025

    $64B

    2026 · forecast

    “As more models enter the market and usage-based pricing becomes harder to predict, buyers will turn to platforms that help them choose the right tools, monitor performance, enforce policy and keep costs under control.”Arunasree Cheparthi, Gartner

    SOURCE — Gartner, AI Platforms and Models forecast, 20 July 2026

    The scenario · 4/6 · The bill arrives

    Incidents involving shadow AI doubled in a year.

    Shadow AI incidents · ×2 in a year
    20% · 2025 report
    43% · 2026 report
    43%

    of organizations reported a breach involving shadow AI. In the 2025 report it was 20%.

    Access to models
    92%

    of organizations breached through their own AI models did not properly control access to them.

    Governance
    2 in 3+

    had no governance process to limit shadow AI.

    The problem isn’t the models. It’s the access nobody governs. Personal accounts, scattered API keys, agents no one has catalogued.

    SOURCE — IBM and Ponemon, Cost of a Data Breach Report 2026, 602 organizations

    The scenario · 5/6 · Agents arrive

    An agent uses 4 times the tokens of a chat. A multi-agent system, 15.

    Chat1×
    Agent4×
    Multi-agent15×
    40%+

    of agentic AI projects will be cancelled by the end of 2027, according to Gartner: rising costs, unclear value, inadequate risk controls.

    SOURCES — Anthropic Engineering, June 2025 · Gartner, June 2025

    The scenario · 6/6 · The risk you don’t see

    The risk is not only data security. It is dependence.

    Costs that run away
    +49.5%

    worldwide AI spending in 2026: $2.67 trillion. Usage-based.

    Data that leaves
    64%

    of privacy and security professionals fear leaking sensitive data through GenAI.

    “The risks associated with vendor lock-in, data sovereignty, and run-away costs are not deterring buyers from adopting these proprietary capabilities.”John-David Lovelock, Gartner

    SOURCES — Gartner, AI spending forecast, Sept. 2026 · Cisco Data Privacy Benchmark 2025

    The thesis · 1/4 · An architecture problem

    It is an architecture problem.
    Not a technology one.

    Between the people who use AI and the models that serve it, a layer is missing: the control plane for enterprise AI.

    The thesis · 2/4 · One point

    For AI, there is no single point.

    At home

    A router.

    One point between the home network and the internet.

    In the company

    A firewall.

    One point between the company network and the world.

    For AI

    Nothing.

    No single point between those who use AI and the models.

    The thesis · 3/4 · Where the layer is missing

    Everyone uses AI. In between, today, there is nothing.

    fasteer.EmployeesChatbots and copilotsAgentsERP · CRM · emailDevelopersFrontier modelsTools and connectorsExternal agentsCompany data20 CONNECTIONSONE POINT
    The thesis · 4/4 · The principle

    You need a point of control. Not to watch: to not depend.

    On one vendor

    The right engine for every request. You change it with a rule, not with a project.

    On one price

    Spend follows the real weight of the requests, not the price list of whoever sells tokens.

    On one place

    What is yours stays in your perimeter. Only what you decide leaves.

    That’s why

    That’s why we built

    fasteer.

    The single point of enterprise AI: an AI Gateway with an intelligent router.

    Chapter 1 of 5

    How Fasteer works.

    The gateway that governs, the router that chooses. Then the product, live.

    Fasteer · 1/3 · What Fasteer is

    An AI Gateway with an integrated router.

    The single point between your company and AI: one address that people, applications and agents point to.

    —
    Fasteer · 2/3 · The platform

    One product, its components.

    Each component solves a specific problem. Together they are the platform: one point of control for company AI.

    01

    Fasteer Gateway

    The single point of access to AI: one address for people, applications and agents.

    Connect by changing an address

    02

    Fasteer Router

    Governs AI spend: FRIO picks, for every request, the cheapest route that will do.

    Up to −50%* of external spend

    03

    Fasteer Mask

    Protects the data leaving for external models, with the patented Fasteer Mask technology.

    Data leaves replaced by its type

    04

    Fasteer Knowledge

    Makes company knowledge searchable and usable, by people and by agents.

    Documents in any format, one map

    05

    Fasteer Design

    The console that makes everything governable: budgets, rules, guardrails and knowledge.

    Where every euro goes, and every piece of data

    Included in the platform

    Private AI Open engines in your instance; with Fasteer Mask also in the cloud, with no dedicated GPU.

    Fasteer Connect The MCP gateway: agents, apps and systems connect with the permissions set in Fasteer.

    Fasteer PlatformThe whole: one dedicated instance, one address, one point of control.

    Start with one component. Add the rest when you need it.

    * Spend on external models. Depends on request volumes and mix.

    Fasteer · 3/3 · Inside FRIO

    Inside FRIO: three functions on one path.

    Private AI, routing that cuts costs, knowledge that comes from the router. Each request takes the path it needs.

    —
    01 · Learn · How knowledge is built

    Every answer leaves knowledge behind.

    —
    02 · Govern · The hub

    Every app goes through one point.

    —
    03 · Optimize · The router

    The cheapest route that does the job.

    —
    04 · Protect · The journey of a request

    Seven checks before anything leaves.

    —
    05 · Optimize · The Private AI

    Every answer stays a company asset.

    —
    06 · Govern · Third-party agents

    An agent asks ten questions. Two go out.

    —
    07 · Protect · The boundary

    Personal data stays inside.

    —
    08 · Protect · Fasteer Mask and the GPU

    With Fasteer Mask, private AI needs no GPU.

    The patented Fasteer Mask technology masks sensitive data before it leaves. That is why the small model can also answer in the cloud. Two configurations, chosen at activation.

    An infrastructure advantage, not a usage one. Inference stays: what changes is where it happens.

    09 · Govern · The console

    One console. Where every euro, and every piece of data, goes.

    The instance console as the customer’s admin sees it: app keys, live traffic, routing rules, request log, guardrails, budgets.

    Instance console — demo tenant with simulated data. Same screens the customer administrator uses.

    Loading the console…
    09 · Govern · The console · Sources

    Fasteer Connect, the MCP gateway, live.

    Loading the console…
    09 · Govern · The console · Models

    The instance engines. In-house and outside.

    Loading the console…
    09 · Govern · The console · Routing

    Where requests go. You decide.

    Loading the console…
    09 · Govern · The console · Knowledge

    Watch knowledge grow, day by day.

    Loading the console…
    09 · Govern · The console · Guardrails

    Set rules and guardrails. Before anything leaves.

    Loading the console…
    10 · Adopt · The platform

    How the components work together.

    —
    Chapter 2 of 5

    How Fasteer builds knowledge.

    Three sources, everyday use that becomes knowledge, the map of your systems. And what stays yours.

    Knowledge · 1/5 · Three sources, one knowledge

    Knowledge isn’t uploaded. It builds up as you work.

    Comes in
    Validated answers

    Every answer obtained from an external model leaves a card in the instance.

    Documents and systems

    Documents in any format in Fasteer Knowledge; ERP, CRM and databases through Fasteer Connect and APIs. Permissions set in Fasteer.

    People’s corrections

    When someone corrects an answer, the correction stays.

    StaysThe knowledge base

    In your instance, in the server region you choose. Nothing that passes through trains third-party platforms.

    Serves
    The cache

    A question already seen, even in other words: answered in milliseconds.

    The Private AI

    On your topics the in-house engine answers: the question doesn’t leave.

    The company map

    Concepts and relations across systems, queried through GraphRAG.

    A subscription gets used up. Your knowledge accumulates.

    Knowledge · 2/5 · From usage to knowledge

    Turn everyday AI usage into company knowledge.

    Fasteer learns from the questions your team already asks every day. Automatically, privately, separately for each customer.

    Everyday usage
      Ask a question
      The map that emerges from use · the ontology
      Built-in trustPrivate by designKnowledge, not peopleSeparate per customerAggregated. No analysis attributed to a person.What you getFewer repeated questionsFaster onboardingGaps spotted earlyNo manual curation
      Knowledge · 3/5 · Company ontology · GraphRAG

      The ontology is defined. Systems get connected. The map takes shape.

      1. 01 — Defined from a base ontology, specialized with you on your domain at activation
      2. 02 — Filled concepts and relations from requests, documents and connected systems
      3. 03 — Analyses and answers analyses grow on the ontology; the answer follows the relations
      —

      The map stays yours. First it is defined, then it grows with use.

      Sample company · illustrative numbers

      Knowledge · 4/5 · What it has learned

      Month after month, topics move in-house.

      Month1
      16%of requests served in-house
      2topics out of 30 the instance already answers
      1. New question
      2. External model
      3. Knowledge base
      4. Private AI
      —

      Sample company · illustrative numbers · the same curve as scene 05 · drag the month to pin it

      Knowledge · 5/5 · It stays yours

      Today’s work. Tomorrow’s asset.

      What happens if…
      Where it lives
      In your instance, in the server region you choose, or on your own systems from size L. Nothing that passes through trains third-party platforms.
      Who uses it
      People from the operational client, apps and agents through the APIs, with the permissions set in Fasteer.
      —
      Chapter 3 of 5

      Coding and modernization.

      Coding assistants, software house margins, and code that is thirty years old.

      Coding and modernization · 1/5 · How Fasteer fits in

      How Fasteer fits in with your developers.

      The tools stay the same. One address changes: every request goes through Fasteer, with one key per project.

      Coding and modernization · 2/5 · Assistants go through the hub

      The coding agent doesn’t talk to the vendor. It talks to FRIO.

      —
      Coding and modernization · 3/5 · The cost of coding

      The gateway doesn’t watch coding agents. It protects margins.

      Today
      $150–250

      per developer per month: the enterprise average for Claude Code.

      For the team: — a month.
      Variable, with no cap.

      With Fasteer

      One endpoint.

      • Codex, Cursor, Claude Code on the same key.
      • Cache, in-house engine, cap per key.
      • Confidential code stays on the instance’s models.

      A predictable cost, not consumption that grows with the team.

      SOURCE — Anthropic, Claude Code costs, 2026 · the slider multiplies public figures; it is not a savings estimate

      Coding and modernization · 4/5 · How modernization works

      First understand the legacy. Then rewrite it.

      What if the code is thirty years old? Many core business systems have run for decades on COBOL, RPG, AS/400, Visual Basic, and fewer people every year can still touch them.

        Real projects, anonymized customers: a leasing company (COBOL → Java and Spring) and an Italian bank (Visual Basic → .NET 9). The code shown is an example.

        Coding and modernization · 5/5 · More margin, new business

        For software houses: more margin, new business.

        On your projects

        Cut the cost of AI coding.

        Cursor and Claude Code point to one address. Confidential code stays on the instance’s models. A budget for every project.

        For your customers

        A new product to sell.

        Build private AI into your products and read the customer’s knowledge from Fasteer, via API and MCP. Offer Fasteer under your own brand. Sandbox, preview releases, channel or OEM licence.

        Less cost on projects. More value to sell.

        Chapter 4 of 5

        How it connects to what you already have.

        Agents, agent platforms, gateways: they stay where they are. Fasteer sits in between, with one address.

        Agentic systems · 1/3 · The system you already have

        Your agentic system stays where it is. Fasteer sits in between.

        WHO USES THEMSalesSupportBack officeYOUR AGENTIC SYSTEM · COPILOT STUDIO, UIPATH OR CUSTOMSales agentSupport agentDocuments agentfasteer.routerrulesbudgetlogWHERE THE REQUEST ENDS UPFrontier modelsexternal · per tokenIn-house enginesPrivate AI · in your instanceYour systemsERP, CRM · via Fasteer ConnectEVERY AGENT CALLS ON ITS OWN · NO SHARED RULESONE ADDRESS · RULES, BUDGET AND LOG PER AGENT
        No agent to rebuildOpenAI-compatible API + Fasteer ConnectOne app key per agentSoftware houses: your brand, channel or OEM licence
        —
        Agentic systems · 2/3 · How it connects

        It connects by changing an address. Not with a project.

        # your agent: only the address changes
        client = OpenAI(
            base_url="https://your-company.fasteer.ai/v1",
            api_key=FASTEER_APP_KEY,   # one key per agent
        )
        client.chat.completions.create(
            model="auto",              # FRIO picks the engine
            messages=[...],
        )
        1. 01One app key per agent

          Spending cap, allowed models, data that may leave. Revoke it here and the agent stops everywhere.

        2. 02Change the model address

          OpenAI- and Anthropic-compatible API. The agent’s logic stays untouched, no SDK of ours.

        3. 03Systems go through Fasteer Connect

          The MCP gateway: ERP, CRM, archives connect via MCP, with the permissions set here. No custom connectors.

        4. 04Every step in the log

          Which agent, which engine, what it costs. Your systems and in-house engines first, outside only where needed.

        An agent doesn’t ask one question: it asks ten. You saw it in the demo: two of them leave.

        Agentic systems · 3/3 · Knowledge for your agents

        Agents don’t just pass through Fasteer. They read from it.

        Where it comes from
        From use

        The router learns from everyday requests.

        From documents and systems

        Uploaded or connected via MCP; in future also A2A.

        In your instanceKnowledge and analyses

        Built on the company ontology, exposed through APIs and MCP.

        Who uses it
        Your agents

        They query the knowledge via MCP.

        The console

        The same analyses, for those who govern.

        Partner platforms

        They read the customer’s knowledge from Fasteer.

        Three guaranteesFasteer Mask before every analysisAggregated data, never attributed to a personPersonal data excluded from knowledge

        Not just the agents’ toll booth: their source of knowledge.

        Gateways · 1/2 · Gateways and Fasteer

        Gateways route. Fasteer decides and builds knowledge.

        Developer gatewaysLiteLLM, Portkey (now part of Palo Alto Networks), Kong AI GatewayFasteer
        RoutingTo external providers, with rules written by developersFRIO decides for every request: in-house when that is enough, outside only when needed
        Spend governanceKeys and limits per projectCaps per app key and per team, a fixed fee per instance
        In-house engineTo be sourced and run separatelyPrivate AI in your instance
        Knowledge that builds upNot includedEveryday AI usage becomes company knowledge
        Installed inside your perimeterUp to your technical teamDedicated Cloud Instance, or on premise from size L

        And if you already have a gateway, Fasteer sits in front of it.

        LiteLLM, Portkey, now part of Palo Alto Networks, and Kong AI Gateway are named as examples of developer gateways: they are not Fasteer partners.

        Gateways · 2/2 · Agnostic by design

        Agnostic by design. We keep what you already have.

        Do you have an agent platform? A gateway? Fasteer integrates with what you already use and makes it more efficient.

        —

        Routing is now a commodity. Fasteer brings what sits on top: costs, masking, knowledge, the link with agents. Compatible with everyone, competing with no one.

        LiteLLM, Portkey (now part of Palo Alto Networks), Kong AI Gateway and Cloudflare AI Gateway are named as examples of widely used gateways: they are not Fasteer partners.

        Chapter 5 of 5

        The offer model.

        You pay for enabled users, not tokens. Two options for external models. The full price list.

        The offer · 1/9 · Who it serves

        More freedom, more control.

        CIO · CTO

        Access to the models you chose, from one address. Change vendor without touching the apps.

        CISO · DPO

        Rules on data: personal data stops before the boundary, in the server region you chose.

        CFO

        Spending limits per team and app key, alerts at 80% and 100%, no true-up.

        CEO · Board

        Usage and costs in one console. Knowledge that stays yours, even if you change vendor.

        Up to −50%* of spend on external models. * Depends on request volume and mix. No guaranteed percentage.

        The offer · 2/9 · Fasteer Connect

        Fasteer Connect. One point to connect everything.

        Fasteer’s MCP gateway, included in the platform: agents, apps, archives and systems connect through the MCP protocol, with the rules and permissions the company sets. No custom connectors.

        —

        Whatever speaks MCP connects. No integration project. Compatible tools and platforms, not partners.

        The offer · 3/9 · You pay per user

        You pay for users. Not for tokens.

        One licence per tool

        You pay for every tool, for every person.

        Chat, coding assistants, agents: each tool has its own subscription. The costs add up.

        Pay as you go

        You pay for every token.

        The more you use, the more you spend. The bill shows up at month end.

        Per user · Fasteer

        You pay for enabled users.

        One fee for your users, with requests included. Every tool and every model goes through the same plan.

        —
        The offer · 4/9 · Certain AI costs

        Certain AI costs. A fee, not a bet on tokens.

        With a fixed fee the company flattens the cost of AI: it is no longer exposed to swings in token prices, or to uncertain budgets.

        MONTHS →AI SPENDFASTEER FEE · FIXEDEXTERNAL MODEL TOKENS · DECREASINGALL ON TOKENS · VARIABLE SPEND
        01 — The fee is fixedIn-house AI is paid by fee.

        Users and requests included: the more requests are answered in-house, the fewer are paid outside. In the cloud with Fasteer Mask the small model has a contained usage cost, set in the offer.

        02 — Out only what’s neededFrontier models are paid per token, less and less.

        The share that leaves falls with use: up to −50% of spend on external models, depending on usage.

        03 — The budget becomes predictableAI spend that grows more certain.

        Caps per key and per team, alerts before the limit. Month after month the bill is read before, not after.

        Illustrative trend, no scale: not customer data · savings on external spend reach up to −50% and depend on usage

        The offer · 5/9 · Two counters

        Two counters, independent of each other.

        01 · Fasteer requests · renewed every month

        Every call to the gateway counts as one request.

        Private AICacheExternal model= 1 request each
        XS10,000
        S30,000
        M50,000

        When the included requests run out: a top-up of 25,000 requests for €250 or 50,000 for €450, by hand or automatically.

        02 · External models · a separate counter

        External model usage is counted separately.

        Fasteer BYOKThe vendor bills it.

        On your keys, under your contracts. No Fasteer markup.

        Fasteer End to EndCredit included in the fee.

        €100 a month with XS, €200 with S, €400 with M. Then €100 slots.

        One can run out before the other: that is why they stay separate.

        Prices exclude VAT · SOURCE — fasteer.ai, pricing page

        The offer · 6/9 · Two options

        The best models. Your way.

        In both: in-house engines and the best external models, governed from one point. The option is chosen at activation and can be changed at renewal.

        The offer · 7/9 · Where it runs, where it answers

        How Fasteer is installed: two independent choices.

        1 · Where Fasteer runs

        2 · Where the models answer

        Where Fasteer runs is your choice. Where each request is answered is FRIO’s decision, with your rules.

        The offer · 8/9 · The price list

        The price list. From XS online to on premise.

        SizeWhere it runsUsersenabledIncluded requestsper monthFasteer BYOKmonthly feeFasteer End to Endmonthly fee
        XSCloud Instanceonline activation510,000€999annual plan: €499/month€1,099annual plan: €549.50/monthwith €100 of model credit
        SCloud Instanceonline activation1030,000€1,799annual plan: €899/month€1,999annual plan: €999.50/monthwith €200 of model credit
        MCloud Instanceonline activation2050,000€3,180annual plan: €1,590/month€3,580annual plan: €1,790/monthwith €400 of model credit
        L and aboveOn premisefrom size L, annual licencetailoredtailoredWith our sales team

        Annual plan at half price for subscriptions by 31/12/2026. The monthly plan is at full price. XS, S and M are activated online, on free request; from L, on premise and tailored.

        Monthly fees excluding VAT, standard Cloud Instance · one-off activation €500 until 31/12/2026, then €1,000 · term, billing and cancellation in the written offer · fasteer.ai · Pricing section

        The offer · 9/9 · Adopted in stages

        It starts with one app.

          It starts with the router, then it grows.

          What we don’t promise: no guaranteed savings percentage. Savings on external spend reach up to −50%, depending on volume and mix.
          Free, no-commitment activation request: we get back to you within 24 hours with the written offer.

          End of the presentation · Addendum 1 of 2

          Use cases.

          Background material, opened on request: twenty scenarios by need and by role, two real projects.

          Addendum · Use cases

          Your AI challenge. A place to start.

          Cut costs, protect information, govern agents and get value from the software you already have. Twenty scenarios, by need and by role.

          Need
          Role

          Cases 15 and 16 are real projects with an anonymized customer. The others are illustrative scenarios.

          Addendum 2 of 2

          Who is behind Fasteer.

          FoolFarm S.p.A., the company that builds Fasteer: its story, services, technology and people.

          Company profile · 1/4 · The group

          A software company working in artificial intelligence, since 2020.

          Founded in Milan as a venture studio, FoolFarm today builds its own products, software, consulting and research in AI.

          The story
          1. 2020

            Founded in Milan as a venture studio dedicated to AI.

          2. 2021–24

            The first spin-offs and patents, including AIDA.

          3. 2024

            Opens in Miami, a bridge to the United States.

          4. 2025

            Fasteer AI is born, the group’s platform.

          5. 2026

            Fasteer goes to market: gateway, router and Private AI.

          Company profile · 2/4 · Services

          Software and AI development. From strategy to patent.

          01 — Software development
          1. Applications and platformsCustom software, designed, built and taken to production.
          2. Custom AI solutionsAssistants, agents and enterprise knowledge search, built on the group’s technologies.
          3. IntegrationAI and Fasteer connected to existing applications, databases and systems, via API and Fasteer Connect.
          4. Legacy modernizationFrom COBOL, RPG and Visual Basic to current technologies, with Fasteer Factory.
          5. Dedicated teamsDevelopment teams for companies and funds, international ones too, managed by FoolFarm.
          02 — Technical and strategic consulting
          1. AI Control AssessmentA picture of how the company uses AI today: models, spend, outbound data, unauthorized AI. And the priorities.
          2. Strategy and governanceAI strategy, investment priorities, operating models, AI Act compliance.
          3. Technical consultingAI architectures, choice of models and infrastructure, Private AI design.
          4. Ongoing supportContinuous support for adoption, from the first use cases to scale.
          03 — Research and development
          1. Research projectsApplied AI research on behalf of companies, with universities and research centres.
          2. Prototypes and proofs of conceptNew technologies put to the test before the investment.
          3. Intellectual propertyFrom idea to patent: the same path behind the group’s 8 industrial patents.

          For whomCompanies and public bodies, software houses and integrators, funds and international companies.

          Company profile · 3/4 · From research to product

          The group’s technologies converge in Fasteer.

          8 industrial patents and 5 spin-offs in six years. The group’s companies bring exclusive technologies into Fasteer: that is what makes it more than a gateway.

          CompanyTechnologyIn Fasteer
          AIDA S.r.l.Patent on masking sensitive dataFasteer Mask: data leaves replaced by its type
          FoolFarm S.p.A.FRIO and the Foolcore framework · FRIO patent under evaluationGateway, FRIO router and Private AI

          The group’s technologies, in one product. The gateway, the FRIO router and Fasteer Mask come out of the research of FoolFarm and its companies.

          Company profile · 4/4 · People and offices

          About 30 people, three offices.

          Founder and CEO

          Andrea Cinelli

          Co-founder of Libero.it. Three exits, including Inventia (to CRIF) and Takeacoder (to H-Farm). C-level at Infostrada, Omnitel–Vodafone, Wind, TIM and the Engineering Group. 25+ international patents.

          Cofounder and CSO

          Rosita Mainieri

          25+ years of enterprise technology and AI sales: Google Cloud, Microsoft, IBM, Gartner.

          Cofounder and CTO

          Alessandro Redaelli

          CTO of FoolFarm since 2021, 25+ years in R&D and software architecture. Designed the Foolcore framework.

          We build technology. To give companies control of AI. foolfarm.com · fasteer.ai

          FoolFarm S.p.A. · VAT IT11331520962 · figures as of October 2026

          click an element to pin it fasteer. — FoolFarm S.p.A.