AI Development AI Development Built for Teams Ready to Scale

Under Services → Custom AI Development → AI Development, WorkSprout delivers AI Development — Full-stack AI product development — architecture, model integration, APIs, guardrails, and observability for reliable intelligent features.

NLP Solutions Computer Vision Models ML Model Training & Tuning AI Development Generative AI Integration
CortexIQ
AI Development
2025
WorkSprout Team

CortexIQ: AI Development for Production Ai Features With Guardrails And Observability

WorkSprout partnered with CortexIQ (B2B SaaS) to deliver ai development — production AI features with guardrails and observability. Full-stack AI product development — architecture, model integration, APIs, guardrails, and observability for reliable intelligent features.

Python PyTorch LangChain LlamaIndex OpenAI Hugging Face FastAPI PostgreSQL
92%+Model accuracy
12 wkTypical delivery
100%CI/CD tested
LiveProduction-ready

AI Development Capabilities

What WorkSprout delivers for ai development engagements.

Design workspace
Live Shipped in product

AI Development discovery

Scope, success metrics, and constraints for ai development.

AI Development architecture

Solution design aligned to your stack and Full-stack AI product development — architecture, model inte…

AI Development implementation

Hands-on delivery with senior engineers owning outcomes.

AI Development integration

Wiring into your product, firmware, or ops environment.

AI Development validation

Benchmarks, QA gates, and acceptance on real workloads.

AI Development handoff

Documentation, runbooks, and optional retainer support.

Explore services

What You Get with AI Development

Production-ready outcomes for ai development — not slide decks.

Production-ready ai development deliverables

Production-ready ai development deliverables for CortexIQ.

Senior-led squad with domain experience

Senior-led squad with domain experience for CortexIQ.

Integration with your existing stack

Integration with your existing stack for CortexIQ.

QA gates and acceptance criteria

QA gates and acceptance criteria for CortexIQ.

Documentation and handoff runbooks

Documentation and handoff runbooks for CortexIQ.

Optional post-launch support retainer

Optional post-launch support retainer for CortexIQ.

01 — Problem

Why Teams Need This

CortexIQ needed ai development that worked in production — not a demo that stalled on integration, quality gates, or timeline.

"We needed ai development that ships — with clear ownership, metrics, and documentation our team can maintain."

  • Previous ai development attempts stalled before production

  • No clear owner between business and engineering teams

  • Quality and timeline risk on every release

  • Integration gaps with existing systems

  • No documentation for operations after handoff

Client

CortexIQ

Industry

B2B SaaS

Focus

Production Ai Features With Guardrails And Observability

Service

AI Development

02 — Strategy

Our Approach

Discover constraints first, validate early on real workloads, then deploy with observability and handoff your team can own.

01

Discover

Scope, stakeholders, and success metrics.

02

Design

Architecture and delivery plan.

03

Build

Implementation with review gates.

03 — Stack

Delivery Toolkit

Tools and platforms we use for ai development programmes.

ML & Model Training

PyTorch, TensorFlow, Hugging Face, and ONNX pipelines for production NLP, vision, and tabular models. Applied to AI Development engagements.

MLflow
DVC
Python
Pytorch
Tensorflow
Hugging Face

LLM & RAG Stack

LangChain, LangGraph, LlamaIndex, and OpenAI integrations with guardrails and evaluation harnesses. Applied to AI Development engagements.

LlamaIndex
OpenAI
CrewAI
ChromaDB
Pinecone
FastAPI

APIs & Data Layer

FastAPI services, PostgreSQL stores, Redis queues, and Docker packaging for model-serving endpoints. Applied to AI Development engagements.

Redis
Docker
Nginx
Github
Typescript
FastAPI

MLOps & Observability

Airflow orchestration, MLflow registry, Prometheus metrics, and Grafana dashboards in production. Applied to AI Development engagements.

MLflow
Prometheus
Grafana
GitHub Actions
Snowflake
Elasticsearch
04 — Process

Delivery Process

Six stages from discovery through production handoff.

01

Discover

Constraints and success metrics.

02

Prototype

Proof on representative workloads.

03

Build

Production implementation.

04

Integrate

Wiring into your environment.

05

Deploy

Staged cutover with monitoring.

06

Care

Support, docs, and optional retainer.

Tools Used: PythonPyTorchLangChainLlamaIndexOpenAI
05 — Milestones

Project Snapshots

Visual milestones across a typical ai development engagement.

Discovery workshop
Architecture design
Core implementation
Integration sprint
Validation & QA
Production cutover
Claim your free consultation
06 — Delivery

Project Deliverables

Deliverables shipped for CortexIQ production use.

Featured deliverable AI Development — production deliverables in use
Primary deliverable pack
Primary deliverable pack Core outputs for production use
Integration & handoff kit
Integration & handoff kit Docs, runbooks, and training
Monitoring & support pack
Monitoring & support pack Dashboards and ops guides
07 — Live

In Production

How CortexIQ uses ai development in the field today.

Production Operations Support
worksprout.us/portfolio
Live
Brand showcase

CortexIQ

AI Development · B2B SaaS

View portfolio
Desktop
Mobile
Delivered2025
ServiceAI Development
ClientCortexIQ
IndustryB2B SaaS
MetricLive
Satisfaction100%
08 — Impact

Results & Impact

Measured outcomes from the CortexIQ engagement.

92%+ Model accuracy

Model accuracy for CortexIQ.
12 wk Typical delivery

Typical delivery for CortexIQ.
100% CI/CD tested

CI/CD tested for CortexIQ.

Key outcome: CortexIQ achieved Live shipped in product with ai development in production.

09 — Docs

Architecture & Visuals

Diagrams and artefacts produced during delivery.

System overview
Data / control flow
Component map
Integration diagram
Benchmark summary
Deployment topology
Security model
Ops runbook excerpt
Monitoring view
Handoff checklist
10 — Client Voice

Client Testimonial

★★★★★

"WorkSprout delivered ai development we could ship — clear milestones, strong engineering, and documentation we still use every release."

CM
Carlos Mendoza CTO, CortexIQ
11 — Workflow

Our delivery workflow

Six steps from brief to long-term support.

Step 01

Brief & intake

Goals, scope, and timeline.

DiscoverBuildShip

Step 02

Discovery

Constraints and success metrics.

DiscoverBuildShip

Step 03

Build

Implementation with review gates.

DiscoverBuildShip

Step 04

Validate

QA and acceptance testing.

DiscoverBuildShip

Step 05

Deploy

Production cutover.

DiscoverBuildShip

Step 06

Care

Documentation and support.

DiscoverBuildShip
13 — Explore

More Custom AI Development Services

Other services under Services → Custom AI Development.

Custom AI Development NLP Solutions

Custom NLP pipelines — classification, extraction, summarisation, and conversational interfaces using fine-tuned transformers and production APIs.

 Custom AI Development Computer Vision Models

Object detection, segmentation, and visual inspection models trained on your data and deployed to cloud or edge with measurable accuracy targets.

 Custom AI Development ML Model Training & Tuning

End-to-end training workflows — dataset curation, hyperparameter tuning, evaluation, and reproducible experiment tracking before production handoff.

 Custom AI Development Generative AI Integration

RAG, agents, and LLM integrations embedded in your product — prompt design, retrieval pipelines, cost controls, and human-in-the-loop workflows.
14 — Continue

Next Service

Up Next
Generative AI Integration
View Next
Start your project

Ready to move forward?

Tell us about your goals. We will recommend the right mix of services and map a clear path from discovery to launch.

  • Free initial consultation
  • Custom scope & timeline
  • No obligation proposal