High plains at dusk with backlit solar infrastructure

Applied systems

Software and AI for what happens beyond the screen.

We design and build complete solutions for your whole business: from sales to operations.

Solutions

Solutions in operation

Industrial operation at dusk with its areas lit: production hall, backlit plant and offices
Solution 01 · Connected operations field dusk

Your whole operation, connected and in real time

Operations, quality, maintenance, warehouse, finance, HR: today every area lives between handwritten logbooks, Excel and late reports. The solution pulls the data on its own — from your machines, forms, emails and messages — and makes it flow across areas without anyone requesting it.

What the solution does

It digitizes and connects the information of every area, shows it in living dashboards and puts AI agents on the monotonous work — transcribing, reconciling, building reports, watching thresholds — so your people keep what requires human judgment.

Where it applies · mining · manufacturing · agriculture · services

Mexican city avenue at night with bus light trails
Solution 02 · Logistics and transport urban night

Every unit, every route, every delivery: visible

Fleets, parcel services and public transport coordinated over phone calls and loose sheets. The solution brings GPS and real-time tracking, routes and statuses that share themselves, and agents that notify before the client asks.

What the solution does

Tailored tracking and dispatch systems: units on a map, ETAs, digital trip logs and follow-up agents that respond and coordinate exceptions.

Where it applies · public transport · parcel · fleets · last mile

Modern business district at golden hour with backlit glass offices and screens glowing behind the facades
Solution 03 · Commercial: leads, bots and CRM golden hour

From first message to customer, without leaks

Leads arrive through WhatsApp, web and campaigns — and get lost between chats and spreadsheets. A bot receives them, qualifies them and moves them into a funnel with automatic follow-up.

What the solution does

Bot-driven capture connected to a CRM-style funnel: qualification, assignment, reminders and follow-up — with AI that drafts and prioritizes so sales closes instead of chasing.

Where it applies · sales · distribution · professional services

Built systems

  1. Case 01 · Connectivity and Internet of Things field dusk
    Book 01 · IoTField map
    Synthetic data · sample
    CLOUDGATEWAY · GW-01N-0418.6 °CN-1971 % HRN-072.4 barN-230.06 gN-31no signalN-12 ◂23.4 °C
    5/6 online
    signaldataoffline
    Node N-12 · zone Bonline
    23.4°C
    temperature · sampling 30 s · ▲ 0.3° / 5 min
    −3 hnow
    Humidity61 %HR
    Signal RSSI−67 dBm
    Battery88 %
    Latency142 ms
    NodeN-12
    GatewayGW-01
    Cloudingest
    Operationsdashboard

    IoT offering for connected operations

  2. Case 02 · Clinical laboratory operations laboratory light
    Book 02 · Clinical lab

    Automation line

    Demonstration · synthetic data
    1. 01Auto
      Registration
      A new patient, or recognized if already on file.
      Sample patient
    2. 02Auto
      Analysis
      The analyzers post their data on their own.
    3. 03Auto
      System
      Consolidates everything in one place.
    4. 04Auto
      Report
      Builds itself, ready to hand over.
    5. 05Auto
      Notification
      Notifies the patient on two channels.
      EmailSent
    Data flows on its ownEnd to end, automatic

    Clinical laboratory management platform

  3. Case 03 · Public transport urban night
    AnaliBusPublic transit · Guadalupe–Zacatecas
    sample data
    best connection · 1 transfer~34 min
    R-7~19 min
    Ruta 7 · Guadalupe–Centro
    Board at Plaza Bicentenario · 6 stops to Alameda
    Transfer at Alameda / IMSS · ~4 min walk
    R-12~11 min
    Ruta 12 · Alameda–Centro Histórico
    4 stops to Jardín Independencia

    AnaliBus: public transport route planning

  4. Case 04 · Solar sales and operations golden hour
    ERP · Solar distribution
    sample data
    Sales funnelby temperature
    Cold2
    Agro del ValleFirst contact
    Refacción NúñezFirst contact
    Warm2
    Hotel MirafloresSite visitQuote · in progress
    Nave Los PinosSite visit
    Hot2
    Rancho El SauzProposal sentQuote · sent
    Taller HerreraProposal sentQuote · sent
    sale → plant
    Plant monitorpost-sale
    InverterOnline
    Plant onlinesynced to the grid
    GenerationWithin range
    LowRangeHigh
    AlertsNone
    Sales Operations · one path, from conversation to plant

    Commercial ERP for solar distribution

  5. Case 05 · Industrial CAD automation drafting table
    Book 05 · CAD automation

    Geometric plan review — door detection

    synthetic geometrysample data
    Received
    Analyzing
    Ready · durable job
    3.604.803.40ROOM AROOM BWORKSHOPOFFICEP-01P-02P-03P-04P-05P-06
    Detection table6 doors
    DoorWidthSwingConfidence
    P-010.90 minward0.98
    P-020.85 minward0.95
    P-030.80 minward0.92
    P-040.90 moutward0.89
    P-051.10 msliding0.83
    P-060.75 moutward0.87
    Sample drawing and measurements.
    WallHingeSwing arcOutput: marked view + table + structured format

    CAD automation for manufacturing

  6. Case 06 · Fuel sales operations industrial night
    Book 06

    From message to advisor

    Demo · synthetic data
    01Messaging02The AI talks and qualifies
    Incoming
    message
    Tanques del BajíoFictional company

    The AI holds the conversation alone

    No operator

    Hi, I’m looking at a tank.

    What capacity do you need?

    About 20 000 L, for diesel.

    Which city would it go in?

    New plant in Saltillo.

    Your area advisor will reach out.

    What the AI read
    Capacity20 000 L
    ProductDiesel
    LocationSaltillo
    TemperatureColdWarmHotQualifies hot
    03Record04Region05AdvisorWake

    Record

    Auto
    Marisol TreviñoFictional prospect
    TankDiesel · 20 000 L
    AreaSaltillo, Coah.
    Temp.Hot

    Built from the conversation

    Region

    Schematic
    NORTHCENTRALSOUTHLands in North

    Advisor

    Auto
    P. EscalanteNorthAssigned
    M. RenteríaCentral
    J. VillalpandoSouth

    Nobody routes it by hand

    ConsequenceFictional prospectssynthetic data · not real performance
    Illustrative trend · no outcome figures

    Names, messages, regions and figures: fictional, from an invented company · The regional geometry is schematic, not a map · No conversions, revenue or other business outcomes are claimed.

    Commercial platform for fuel operations

  7. Case 07 · Real-estate demand research map at dawn
    Book 07

    The floor and the ceiling

    Demo · synthetic layers
    Layer
    Auto-rotates
    CDMXGDLMTY
    NO DATAValle de México · 16 boroughsNO DATAGuadalajara · 6 municipalitiesNO DATAMonterrey · 9 municipalities

    Cut

    Method example · not a result
    Floor10.0Total16.0Δ6.0k homes/yr · synthetic · scenarios base → high 18.5

    Reading

    Method example · not a result
    Absorption
    Rising
    Household form.
    In range
    Supply vs floor
    Covered
    Structural floor · homes/yrThe floor: the minimum demand that household formation sustains.
    Total demand · homes/yrThe ceiling: the plate that lifts on top. Computed, not predicted.

    The middle band is the difference: the floor peeks out beneath the ceiling, and the wider it is, the farther one is from the other — it is what an investor looks at. No data: a zone with no snapshot coverage; it is drawn and declared, not filled in.

    Outlines© OpenStreetMap contributors · ODbL · public geography, realLayersSynthetic · ETL → PostGIS, sample snapshot · SQL + declared methodology, no learned model

    No layer is the real study of these cities · No projects, developments or locations · No figures or results from the audited sources are published.

    Real-estate demand research platform

  8. Case 08 · Logistics and tracking night road
    RúmboCourier and freight · demo
    demo · synthetic data
    synthetic routeOriginDestinationsynthetic scale
    state timelineSample shipment
    fictional waybillDEMO-104not scannable
    OriginBodega Central
    DestinationZona Norte · Parada 4
    StatusPreparationIn transitDelivered

    Sample shipment over an invented route: streets, stops, waybill and QR are fictional. It does not represent real routes, locations or performance.

    Logistics operations suite

  9. Case 09 · Digital academic publishing library
    Book 09

    The library that answers

    Demo · fictional person and work
    01 The work02 Retrieval03 Answer with citationsit searches the work first, then it answers

    The work

    Invented catalogue
    Dra. Amalia Rechy VenturaMaterial history of readingInvented scholar · does not exist
    1. Márgenes habitados: anotación y comunidad lectoraBook · 20161
    2. El taller de la copistaArticle · 2018
    3. Cartografía de una errataChapter · 20193
    4. Papel, humedad y olvidoArticle · 2021
    5. Lo que el índice no diceBook · 20232

    The answer

    Searching the workComposing from sources
    Question

    What role does marginal annotation play in her reading of the history of the book?

    3 sources retrieved · before answering
    Answer

    Marginal annotation appears in her work as a deferred conversation between readers1, not as damage to the copy3: the margin is where a community records its reading.2

    Every claim stays tied to a specific source in the catalogue: no source, no claim. The sources in this demo are invented.

    Source panel · what holds the answer upFictional sources and passages
    1. 1Márgenes habitadosBook · 2016 · REC-16.1«quien anota responde a un lector que ya no está» · cap. 2
    2. 2Lo que el índice no diceBook · 2023 · REC-23.1«el margen es el acta de una comunidad que leyó junta» · cap. 5
    3. 3Cartografía de una errataChapter · 2019 · REC-19.2«llamar daño a la anotación es no saber leerla» · § 4

    Person, body of work, publications, shelf marks, question, answer, passages and sources: entirely fictional, created for this demo · The numbering shows the logic of verification —each claim tied to a specific source—, not real references · No work or data belonging to a real person appears here · No deployments, adoption or results are claimed.

    Bilingual academic content platform with source-grounded AI

  10. Case 10 · Cattle operations open range
    Book 10

    From the paddock to the server

    Fictional ranch · synthetic data
    OfflineRecoveringOnline
    01The paddock02The count in hand · no signal

    The paddock

    Schematic
    R-014Invented geometry · not a plan or a real location

    The count in hand

    No signal
    Lote A · Potrero 3No network
    Lot count · synthetic figure
    Draft saved on the device
    Kept without networkRecord R-014Link to the lotLink to the paddock
    03Draft04Queue05The operation

    Local draft

    Draft
    RecordR-014
    LotLote A
    PaddockPotrero 3
    Count14
    Lives on the device

    Without a network the count is not discarded: it stays as a draft.

    Queue

    IdleQueueingDraining
    • Count · Lote APendingSynced
    • Movement · Lote BPendingSynced
    • Entry · R-051PendingSynced

    Operations queue up without a network and are sent when the connection returns.

    The operation

    Synced

    The count arrives with its lot and its paddock: the link does not break along the way.

    The sequenceCategorical states

    Ranch, animals, ear tags, lots, paddocks and operations: invented, from a ranch that does not exist · The paddock scene is schematic: it is not a plan, a location or real operational geometry · The states are categorical: no business results, adoption, deployments, timings or economic figures are claimed.

    Cattle operations platform

Capabilities

What a system must do for your operation

Connect

Sensors, systems, and people that do not share data today.

The whole operation becomes visible in one place.

Decide

Data turned into verifiable operational decisions.

Models and analysis serving the problem, not the other way around.

Operate

Tools that support daily work without friction.

Repetitive processes become automated and auditable.

How we deliver

Fast

From diagnosis to a system in operation in weeks, not months.

Made to measure

No templates: the system is configured to your process, not the other way around.

Connected to what you already use

It integrates with your current tools — ERP, spreadsheets, WhatsApp, APIs — without starting from scratch.

What we work with

We work with every one of these — and it is not a list to show off. It is what lets us pick each tool for what your operation needs, instead of bending your operation to the only one we would know how to use.

TypeScript Hardhat C++ Vue.js Next.js Deno Vite Firebase Jetpack Compose Cloudflare NestJS TensorFlow Express NumPy PostgreSQL n8n Apache Parquet Redis Docker
Solidity Dart Rust SQL Three.js Recharts MongoDB CSS Celery Node.js NGINX ARQ OpenCV Spring Boot LangChain MySQL Stripe Zarr
Python STM32 Kotlin Angular HTML GraphQL Android Apache Kafka MapLibre GL JS Vercel BullMQ Keras Fastify Jupyter SQLite Arduino PostGIS Zod
Ethereum C Swift React Bun Tailwind CSS Supabase Electron Kubernetes FastAPI Linux Django REST Framework pandas tRPC Anthropic Valkey WhatsApp Ollama
JavaScript Go PHP Svelte Flutter Prisma Astro RabbitMQ Motion Grafana Django scikit-learn Laravel Hugging Face Drizzle ORM Raspberry Pi Pydantic TensorFlow Lite

Point or tap any technology to see what backs it

The team

We understand it, design it, and build it.

AnaliZac is a multidisciplinary software team. We bring together product design, engineering, AI, automation, and data analysis — and add the exact specialist each project needs, instead of bending your operation to the only tool we would know how to use.

What we build

9 development fronts
  • Web development

    Platforms · Portals · APIs

    Systems that centralize your operation in the browser, reachable from anywhere.

  • Mobile apps

    iOS · Android · Cross-platform

    Apps to operate from the field, the warehouse, or the sales floor — online or off.

  • .NET development

    C# · Services · Integration

    Robust business systems on .NET, ready to connect to your ERP.

  • Desktop applications

    Windows · Workstations · Offline

    Software for workstations and demanding environments, with no dependence on the cloud.

  • Industrial automation

    PLC · Arduino · Sensors

    Connected production lines: the physical equipment talking to your software in real time.

  • Code agents

    AI that acts, not just answers

    Agents that complete real tasks inside your systems and leave an auditable trail.

  • Computer vision

    Camera · Real time

    Inspection, counting, and quality control by camera, integrated into the operation.

  • Data analysis

    BI · Dashboards · Models

    Your data turned into decisions: dashboards, indicators, and custom models.

  • Data protection

    Privacy · Security · Access

    Security by design: encryption, access control, and compliance from day one.

AI governance

We integrate AI with a discipline few bring — aligned to the standards that define responsible AI today, and current with how they evolve.

  • ISO/IEC 42001 AI management
  • NIST AI RMF Risk management
  • OWASP LLM Top 10 Security

Next step

Let's talk

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Office hours, Mexico City time.

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