LiFet
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    Built For Real Operational Problems

    AI Business Solutions

    Custom AI Tools Built To Solve Real Operational Problems

    Most businesses that adopt AI are experimenting, not solving anything specific. LiFet builds AI tools around one real operational problem at a time, not a generic AI feature bolted onto your business because everyone else has one.

    AI Business Solutions
    LOCAL TEAM FIXED SCOPE 21 DAYS TO LAUNCH NO OUTSOURCING
    LOCAL TEAM FIXED SCOPE 21 DAYS TO LAUNCH NO OUTSOURCING
    LOCAL TEAM FIXED SCOPE 21 DAYS TO LAUNCH NO OUTSOURCING

    Built For Businesses With A Real Problem To Solve

    Not businesses looking to add AI as a checkbox, businesses with one real operational bottleneck, slow reporting, repetitive manual work, disconnected data, that AI can genuinely fix, and want it built around that specific problem.

    EXPERIMENTING
    A Day In The Life
    A Day In The Life

    Testing Tools, Not Solving Problems

    A team tries a few AI tools, gets some interesting outputs, and six months later still hasn't solved the actual operational problem that started the search. Only 8% of businesses reach advanced AI adoption, most stay stuck in early, unstructured experimentation without a real strategy (Source: Forbes / SMB Group, cited via Capsule CRM, 2024). LiFet builds AI solutions around one real problem, so the result is a working fix, not another tool nobody fully adopted.

    What's Included

    Everything Your App Actually Needs

    01

    Real Process Automation

    Saves real hours

    AI built around a specific, repetitive process, not a generic assistant.

    02

    Custom Reporting And Analytics

    Real insight pulled from your actual data, not generic dashboards.

    03

    Workflow Integration

    Connected to the tools you already use, not a separate system to manage.

    04

    Custom AI Models Where Needed

    Real, trained models built around your actual data, not an off-the-shelf API call.

    05

    Data Pipeline Setup

    Real infrastructure to get your data actually usable by AI.

    06

    Team Training

    Real onboarding so your team actually uses what gets built.

    07

    Ongoing Optimization

    Updated and tuned as your business and data change, not a one time handoff.

    What This Actually Looks Like

    From Start To Finish

    We Find The Real Bottleneck

    Build The AI Solution

    Connect Your Real Data

    Team Gets Trained

    Real Time Gets Saved

    PROCESS
    How We Build It
    01

    Discovery and Risk Assessment

    We review your actual operational bottleneck, your actual data, and flag real risks before any code gets written.

    02

    Scope and Compliance Definition

    The exact problem and solution scope get locked in writing before development begins.

    03

    UI/UX Design

    A real, high fidelity prototype of your actual solution you review and approve before the build phase starts.

    04

    Technology and Architecture Setup

    The real technical foundation gets built first, including your real data pipeline, before any feature work starts.

    05

    Agile Software Development

    The solution gets built and verified one piece at a time, tracked against a visible pipeline you can see progress on.

    06

    Quality and Security Testing

    Your solution is tested against real business scenarios before it counts as done, not assumed working.

    07

    Deployment and Launch

    Your AI solution goes live inside your real operations, not a standalone demo.

    08

    Continuous Support and Optimization

    Real, ongoing tuning as your business and data change, not a one time handoff.

    Potential Impact

    What The Industry Data Shows

    0%

    Of small businesses using AI report measurable revenue increases

    Source: Salesforce SMB Trends Report, cited via Booth Associates, 2025

    26-55

    Productivity gains reported in the specific functions where AI is deployed

    Source: Stealth Agents, AI adoption statistics, 2026

    0x

    Average reported ROI on AI tool investment for small businesses

    Source: McKinsey, cited via Booth Associates, 2026

    Figures reflect published industry research, not guaranteed results for any individual business.

    TRUSTED
    0
    Building Real Software Since
    0+
    Projects Delivered
    0%
    Client Satisfaction

    We don't sell AI as a checkbox, we build it around your one real problem.

    Relevant Tech Stack

    Built On Proven, Modern Technology

    Python and TensorFlow for real model work, FastAPI and Node.js for backend logic, and PostgreSQL, Supabase, and Docker for reliable data infrastructure.

    Python
    Python
    TensorFlow
    TensorFlow
    FastAPI
    FastAPI
    Node.js
    Node.js
    PostgreSQL
    PostgreSQL
    Supabase
    Supabase
    Docker
    Docker

    Tell Us About Your Project

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    QUESTIONS

    Frequently Asked Questions

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