10Shift
Artificial Intelligence & Machine Learning

AI & Machine Learning Solutions

We harness state-of-the-art artificial intelligence, machine learning, and generative AI models to automate mission-critical workflows, extract actionable business intelligence, and deliver next-generation autonomous software experiences.

50M+
Inferences Processed
98.5%
Model Accuracy
4x
Efficiency Gain
Zero
Data Leakage
Free Architecture Consultation

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Full-Scope Capabilities

What Our AI & Machine Learning Solutions Include

Every build is scoped around what your business actually needs. We build robust systems engineered for high performance, zero downtime, and long-term maintainability.

AI & Machine Learning Solutions showcase
01

Custom AI Models & Predictive Analytics

Bespoke machine learning models trained on your proprietary enterprise data to forecast customer demand, churn, and operational metrics.

Predictive ModelingTime-SeriesClassificationPyTorch
02

Generative AI & LLM Engineering

Fine-tuned Large Language Models, custom Retrieval-Augmented Generation (RAG) pipelines, and intelligent domain-specific AI agents.

RAG PipelinesOpenAI / Claude / GeminiLangChainLlama 3
03

Natural Language Processing (NLP)

Automated document extraction, contract analysis, sentiment scoring, and multi-lingual conversational AI assistants.

NLPDocument ParsingSemantic SearchVector Embeddings
04

Computer Vision & Visual Intelligence

Real-time object detection, facial biometrics, automated quality inspection, and video telemetry using deep convolutional networks.

Computer VisionYOLOOpenCVImage Segmentation
05

Intelligent Process Automation (RPA + AI)

Autonomous AI workflows that eliminate repetitive manual back-office tasks, invoice matching, and data entry.

AI AgentsWorkflow AutomationAutonomous BotsAPI Integration
06

Edge AI & On-Device Machine Learning

Optimized, lightweight neural networks running locally on iOS and Android devices via CoreML, TensorFlow Lite, and ONNX Runtime.

TensorFlow LiteCoreMLONNXZero-Latency Edge AI
Sprint-Based Delivery

Our AI & Machine Learning Solutions Process

We run on 2-week agile sprints. You see working software and tangible milestone builds every 2 weeks — not status reports.

1
Weeks 1–2

Data Audit & Feasibility Assessment

Audit existing data assets, label quality, technical feasibility, and define measurable AI performance benchmarks (accuracy, latency, ROI).

Key Deliverables:

AI Feasibility Report
Data Pipeline Specification
ROI & Accuracy Benchmark Goals
2
Weeks 3–4

Data Engineering & Pipeline Setup

Cleanse, normalize, and vectorize structured and unstructured datasets. Establish vector databases (Pinecone, pgvector) and embedding pipelines.

Key Deliverables:

Data Ingestion Pipelines
Vector Database Setup
RAG Retrieval Benchmarks
3
Weeks 5–8

Model Training, Fine-Tuning & Prompt Engineering

Fine-tune models or train custom PyTorch/TensorFlow architectures with hyperparameter optimization and rigorous validation.

Key Deliverables:

Trained Model Checkpoints
Fine-Tuned LLM Weights
Validation Benchmark Report
4
Weeks 9–10

Deployment, Monitoring & API Integration

Deploy models onto scalable GPU clusters (AWS SageMaker / GCP Vertex AI) with continuous drift detection and real-time monitoring.

Key Deliverables:

Production Inference API
Model Drift Dashboard
Full System Documentation
AI Modernization

Infusing Legacy Systems With Modern AI

Embed generative AI and predictive intelligence into your existing databases and software

You do not need to rewrite your entire software stack to benefit from AI. 10Shift builds secure AI microservices that connect to your existing SQL databases, CRM, and ERP platforms to give your team instant natural language querying, automated summarization, and predictive forecasting.

Integrating RAG and LLMs with existing relational databases (PostgreSQL, MySQL, Oracle)
Automating legacy PDF and paper document processing with OCR and NLP
Replacing rule-based algorithms with self-learning neural networks
Ensuring zero enterprise data is used to train public LLM models
Infusing Legacy Systems With Modern AI
Domain Expertise

Industries We Serve

We deliver regulatory-compliant, high-volume digital solutions tailored to specific vertical requirements and compliance standards.

Healthcare & Life Sciences

Healthcare & Life Sciences

Medical imaging analysis, automated clinical note extraction, and patient diagnosis support.

E-Commerce & Retail

E-Commerce & Retail

Visual search, personalized product recommendation engines, and dynamic pricing optimization.

Legal & Compliance

Legal & Compliance

Automated contract review, legal discovery parsing, and regulatory change tracking.

Logistics & Supply Chain

Logistics & Supply Chain

Predictive route optimization, demand forecasting, and automated warehouse robotics.

Real Estate & PropTech

Real Estate & PropTech

Automated property valuation models (AVM), lease abstraction, and tenant lead scoring.

Manufacturing & Robotics

Manufacturing & Robotics

Defect detection, computer vision inspection, and predictive maintenance.

Technologies & Frameworks We Use

Engineered with industry-standard, performant, and future-proof toolchains.

PythonPyTorchTensorFlowOpenAI APIAnthropic ClaudeGoogle GeminiLangChainLlamaIndexHugging FacePineconepgvectorAWS SageMakerGCP Vertex AIFastAPI
Clear Answers

Frequently Asked Questions

Everything you need to know about our ai & machine learning solutions process, pricing models, and timelines.

We implement zero-data-retention enterprise agreements with foundation model providers (OpenAI, Anthropic, Google) or host open-weight models (Llama 3, Mistral) in your private, isolated VPC. Your data is never used to train public models.
Let's Build Together

Ready to Build an AI & Machine Learning Solutions That Actually Holds Up?

Whether you are starting a new product from scratch or modernizing an existing legacy platform, our team is ready to talk through what your application needs to do and how to get there.

24-Hour Response Time
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Senior Architect Consultation