Applied AI Solutions
Kodexo Labs is the applied AI team founders trust to turn research-grade models into production systems driving measurable results, proven by 51 products live, 94% client retention, and Top-Rated Clutch standing.
TRUSTED BY ENTERPRISES
Applied AI solutions turn research models into production systems driving measurable results: prediction engines, document AI, process automation. Kodexo Labs is the applied AI team that ships to production, not pitch decks.
Our Core Capabilities:
Machine learning models trained on client data, productionised on AWS SageMaker and Vertex AI.
Generative AI builds spanning LLM apps, content generation, and document-grounded chat experiences.
AI chatbot development for support, sales, and internal-knowledge retrieval at customer scale.
AI voice agent development covering real-time speech, sub-100ms response, and live call routing.
Computer vision systems for visual search, object detection, and inventory recognition pipelines.
Natural language processing pipelines for clinical, legal, and operational document automation.
IN THE NEWS
Outcomes The Proof Bar Will Defend
AI products shipped
AI Development Company · Verified on Clutch
Client retention
Team across 6 offices, 3 countries
Revenue from one in-house product
Founded, agile-first
Seven Applied AI Disciplines, One Team That Ships Them All, Fast
Founders arrive with one problem and a deadline already slipped twice. Across machine learning, generative AI, chatbots, voice, computer vision, NLP, and predictive analytics, Kodexo Labs ships the production system that fixes both, proven across 51 shipped products.
Machine Learning Development
Vital Connect partnered with Kodexo Labs on a machine learning pipeline driving 3x earlier detection and 40% faster diagnosis, built on TensorFlow, PyTorch.
built for retrain cycles, versioned data and audit traceability that holds steady from week one onward.
With drift monitoring and instant auto-rollback, so the accuracy lift you launch still holds twelve months later.
Production is the Only Benchmark That Pays
51 applied AI products are running for paying customers right now. None of them shipped from a notebook.
Custom software built for production speed
Extensiv
Extensiv's operations team waited on engineering for every data question. Kodexo Labs embedded an AI pod that built a LangGraph agentic query layer across 4 databases, so operations self-serves in plain English.
90%
SQL accuracy
207
Tables Accessible
04
Databases
SmartMedHx
SmartMedHx needed compliance-aware AI engineers fast. Kodexo Labs embedded a dedicated pod covering AI/ML and DevOps, building the HIPAA-compliant pipeline with audit logging and a hardened AWS VPC.
42+
Providers
493
Patient Interviews
40%
Faster Interviews
HIPAA
Compliant
Teacher AI
Teacher AI needed full-stack and AI engineers to scale multilingual tutoring without splitting into separate squads. Kodexo Labs augmented the team across TypeScript, React, Node.js, and Flutter on a unified sprint cadence.
50,000+
Users
30+
Countries
07
Langauges
The custom software development company mid-market teams trust.
Verified client quotes from a custom software development partner mid-market CTOs and founders return to between engagements.
Kodexo
Labs
built
an
agentic
system
that
reads
plain-English
questions
and
answers
them
from
our
full
operational
database.
The
ops
team
self-serves
now,
with
90%+
accuracy
across
207
tables
and
4
databases.
The
build
came
in
on
time
and
the
team
understood
the
warehouse
domain
better
than
most
of
our
internal
hires.
Brant Snow
Director of Engineering · Extensiv
WATCH VIDEO
Applied AI Built For Industries Where Risk Runs Highest.
A healthcare VP evaluating AI vendors needs to see deployed builds inside her own regulated environment, not adjacent industries. The eight verticals below demonstrate exactly where Kodexo Labs has already placed applied AI into active, production operations.
- Clinical Documentation NLPReal-Time Voice Therapy AIPredictive Patient Deterioration AIHIPAA-Compliant Generative AI
Applied AI That Meets Your Compliance Bar
Compliance is the line between a model that ships and a model that stalls. Kodexo Labs designs it in from sprint one.
Applied AI Built To Meet Your Industry's Compliance Bar
As an applied AI company, Kodexo Labs designs every build to meet the compliance standard your industry requires, mapping each framework before model selection. HIPAA, GDPR, and SOC 2 are architected in from Phase 1, the way SmartMedHx shipped across 42+ providers with zero PHI exposure.
Four reasons applied AI ships and stays shipped with Kodexo Labs
Buyers ask the same four questions on the second call. Below are the answers we put in writing before the engagement starts.
Your Applied AI Will Not Stall In Staging For The Third Quarter In A Row
Kodexo Labs ships to production from sprint one. Monitoring dashboards, retraining triggers, and SLAs are baked into the original architecture, not handed to your DevOps team as a post-launch ticket. The build that demos in week two is the same build that scales in month six.
Your data, your weights, your IP, never a shared training pool
Models are trained on your data, hosted on your infrastructure, with full IP rights transferred at delivery. No shared training environment where another vendor's customer benefits from your corpus. No vendor-locked inference layer that turns into a renewal hostage.
Your compliance review will not add three months after the model works
HIPAA, GDPR, CCPA, and SOC 2 are designed into the architecture at sprint zero. There is no post-launch compliance sprint because applied AI compliance is reviewed at the schema level before a line of model code ships. Auditors get the documentation they expect on day one.
Your team will not vanish the week after go-live
94% client retention because the engineers who built it are still reachable. Iteration, retraining, and feature additions happen inside the original engagement, without a new statement of work or a fresh ramp on your codebase. The phone number on the launch email is the phone number in month eighteen.
Recognised By The Platforms That Vet AI Companies
Kodexo Labs is reviewed where technical buyers do their diligence: Clutch and Upwork. Every badge below links to the live profile.
Applied AI Built For Industries Where Risk Runs Highest
A healthcare VP evaluating AI vendors needs to see deployed builds inside her own regulated environment, not adjacent industries. The eight verticals below demonstrate exactly where Kodexo Labs has already placed applied AI into active, production operations.
Verified by the platforms buyers check before the shortlist
Kodexo Labs is reviewed where technical buyers do their diligence: Clutch and Upwork. Every badge below links to the live profile.
Every tool listed is in active production on a Kodexo Labs custom software build.
Every framework, runtime, and cloud service named here is running on a live client product right now. No theoretical stack, no resume keywords, no tools added for marketing weight.
Applied AI That Fails In Production Is Just An Expensive Prototype
The difference between a working demo and a production system is whether the AI stays accurate, private, and reliable after launch.
Each Applied AI Services Build Faces Three Costly Risks; Kodexo Labs Removes Them
A VP of Engineering has watched a polished AI demo perform flawlessly in the boardroom, then crater after go-live.
Vital Connect
Vital Connect holds 3x earlier detection by retraining on fresh signals. Retraining loops and accuracy dashboards ship in every ML build.
Dynasty Pulse
Dynasty Pulse's pipeline handles game data in 30 seconds, erasing a 15-minute lag. Each carries latency SLAs on Kubernetes and FastAPI.
SmartMedHx
SmartMedHx shipped HIPAA-compliant across 42+ providers, 493 interviews, zero PHI exposure. Every build maps HIPAA, GDPR, SOC 2 before model selection.
Five Phases. Each Build Delivered To Production
Every applied AI build advances through five phases, each ending in a defined deliverable you actually sign off on.
Discovery Sprint
The Discovery Sprint is a two-week applied AI readiness review across model choice, data inventory, integration scope, and compliance mapping. Deliverables include a technical feasibility report, a data audit, a model architecture plan, and a compliance checklist signed off by your technical and legal stakeholders.
Architecture and Data Prep
Architecture and data prep covers model architecture design, training pipeline design, and integration scope across API, DB, and CRM endpoints. Deliverables include a system architecture document, a data pipeline spec, and an integration map across AWS, Google Vertex AI, and PostgreSQL endpoints the build requires.
Model Build and Training
Model build and training spans computer vision, NLP, machine learning and voice AI workloads, with evals and checks against agreed accuracy benchmarks. Deliverables cover the trained model, an eval report, and validation results across TensorFlow, PyTorch, OpenCV, and LangChain workflows where the build needs them.
Integration and Testing
Integration and testing covers system integration, compliance wiring across HIPAA, GDPR, and CCPA, load testing, and accuracy testing against the Phase 1 targets. Deliverables include the integrated system, a compliance audit report, load test results, and an accuracy score verified via AWS SageMaker monitor hooks.
Deploy and Optimise
Deploy and optimise covers production model deployment, monitoring, model retraining, accuracy SLAs, and feature iterations under a Retainer. Fairness Factor's HR prediction model was built, deployed, and is maintained at 80% accuracy via ongoing retraining tracked on MLflow and Weights and Biases in AWS SageMaker.
Frequently Asked Questions About Applied AI Solutions
Applied AI solutions learn from data; standard software runs on rules. Zendrop's product automation reached 45% faster time-to-market by replacing rules engines with AI-driven decisions trained on operational data. Kodexo Labs builds these systems on TensorFlow and PyTorch infrastructure, deployed and monitored in production.