Enterprise Data Science, Machine Learning & Generative AI Solutions
Transform complex enterprise datasets into high-velocity predictive engines, private LLMs, and real-time automated decisions with certified AI engineers.
Transform raw enterprise data into actionable predictive insights with our data science & AI development services. As a leading custom AI development company, we fine-tune open-source models, engineer secure LLM fine-tuning & RAG vector search architectures, and deploy automated MLOps pipeline engineering solutions for sub-100ms real-time inference.
DATA SCIENCE & AI DEVELOPMENT
Transforming Raw Enterprise Data into Real-Time AI Intelligence Systems
Schedule a call to talk about how we can prepare your software for the real world, or keep reading to learn more about our approach.
Data Science & AI Capabilities
Generative AI & LLM Fine-Tuning Capabilities
Custom LLM Fine-Tuning & Quantization: Adapting foundational open-source models (Llama 3, Mistral, Qwen) to proprietary enterprise corpora using PEFT, LoRA, and 4-bit/8-bit QLoRA quantization.
Hybrid RAG Vector Search Systems: Engineering resilient vector retrieval systems combining dense embeddings (pgvector, Pinecone) with sparse BM25 indexing and cross-encoder re-ranking for zero-hallucination accuracy.
Bank-Grade Data Privacy & Algorithmic Safety: Enforcing strict PII data masking, automated guardrail policies (NeMo Guardrails), role-based semantic access controls, and comprehensive prompt injection defenses.
Predictive Analytics & MLOps Infrastructure
Time-Series Forecasting & Deep Learning: Building multi-variable predictive regression and classification models using PyTorch, XGBoost, and LightGBM to automate revenue, churn, and demand forecasting.
High-Concurrency Triton Inference Pipelines: Deploying containerized inference APIs on Kubernetes with NVIDIA Triton Inference Server and TensorRT, achieving sub-100ms response times at scale.
Automated Model Drift & Retraining Loops: Configuring MLflow model registries, Feast feature stores, and automated Evidently AI drift monitors to trigger continuous retraining upon accuracy degradation.
Why Top Brands Build Production AI Systems
Break down data silos, eliminate manual analysis bottlenecks, and unlock competitive automation advantages with production-grade AI.
Sub-100ms Model Inference Speeds
Optimized model weights (FP16/INT8 quantization, TensorRT compilation) guarantee lightning-fast API responses under extreme concurrent enterprise query traffic.
Algorithmic Safety & SOC 2/HIPAA Governance
Enforce strict model validation gates, data anonymization, bias auditing, and compliance safeguards ensuring your models operate safely within regulated markets.
Decoupled Cloud Lakehouse Data Pipelines
Scalable ETL data pipelines orchestrated with Apache Spark, dbt, and Databricks transform raw operational logs into pristine, vectorized machine learning datasets.
Automated MLOps Drift & Model Monitoring
Sustain accuracy over time through continuous data drift tracking, automated feature store updates, and zero-downtime blue-green inference deployments.
Map your Applied AI roadmap.
Whether assessing the viability of a private Large Language Model deployment, engineering an automated predictive forecasting pipeline, or resolving performance bottlenecks in an existing machine learning stack, our certified data scientists and AI architects provide immediate technical clarity. We evaluate your dataset maturity, review MLOps infrastructure readiness, and formulate a high-impact, production-ready AI roadmap.
Core AI Capabilities
Every business has different needs. Whether you are building private LLM applications, time-series forecasting, or edge computer vision pipelines, we customize the ML architecture to fit your enterprise.
Bespoke LLM Fine-Tuning & Quantization
Adapting open-source foundational models to proprietary enterprise datasets using parameter-efficient fine-tuning (PEFT/LoRA) and 4-bit QLoRA quantization.
RAG Vector Database Systems
Constructing high-precision vector database systems (Pinecone, pgvector, Qdrant) with hybrid dense-sparse search and re-ranking for zero-hallucination querying.
Computer Vision & Visual Telemetry
Deploying custom PyTorch and YOLO models to process high-resolution visual feeds, detect manufacturing defects, and index visual media in real time.
High-Scale Feature Stores & Feast
Configuring centralized feature registries (Feast) to share structured, point-in-time training records across multiple real-time inference models.
Distributed Data Wrangling & Spark
Deploying PySpark, Databricks, and Ray clusters to parse, transform, and clean multi-terabyte raw datasets into pristine model training sets.
Inference API Optimization & Triton
Compiling neural models with TensorRT and ONNX Runtime into containerized microservices hosted on NVIDIA Triton Inference Server.
Continuous Model Monitoring & MLOps
Installing automated monitoring tools to track statistical data drift, concept shifts, and prediction accuracy degradation in production.
Our Commitment to Deliver Production AI in 3-5 months
Leapsofts is an elite custom machine learning and applied AI engineering partner. Combining deep data engineering rigor, certified data scientists, and battle-tested MLOps CI/CD pipelines, we architect, train, and deploy production-grade enterprise AI systems within an accelerated 3 to 5 month delivery timeframe.
Enterprise Artificial Intelligence & Machine Learning Solutions
End-to-end custom AI development services, machine learning models, and Generative AI solutions engineered to automate decisions and unlock enterprise data value.
Generative AI & Custom LLM Fine-Tuning
Fine-tuning foundational LLMs (Llama 3, Mistral, Falcon) on proprietary company data using LoRA/QLoRA techniques, backed by secure private RAG architectures.
Predictive Modeling & Machine Learning
Engineering multi-variable regression, classification, and time-series forecasting models using Scikit-Learn, PyTorch, and XGBoost to predict demand, churn, and revenue.
Computer Vision & Real-Time Image AI
Building high-velocity Convolutional Neural Networks (CNNs) and Vision Transformers for automated defect detection, visual inspection, and video telemetry.
Enterprise Data Lakehouses & ETL Pipelines
Orchestrating high-scale data pipeline engineering using Apache Spark, Databricks, Snowflake, and dbt to feed clean structured data into machine learning models.
MLOps & Automated Model Deployment
Implementing continuous training (CT/CD), model registry tracking via MLflow, and high-concurrency inference API serving on Kubernetes using Triton Server.
AI Recommendation Engines & Personalization
Building collaborative and content-based AI recommendation systems to personalize digital product experiences and boost customer retention.
OUR APPLIED AI PROCESS
MLOPS & EVOLUTIONMODEL TRAINING & TUNINGFEATURE & RAG DESIGN
STRATEGY & DISCOVERYNeeds Maturity & Data Auditing
We analyze database cardinality, clean missing entries, identify target business KPIs, and audit data bias risk parameters.
- ❯Active Data Quality Auditing
- ❯Model Output & Metric Scoping
- ❯Tech Stack & MLOps Blueprinting
Data Science & AI Development FAQ
Everything you need to know about LLM fine-tuning, RAG vector architectures, predictive models, MLOps, and algorithmic data security.
Explore Related Engineering Capabilities
Data Governance Services
Build robust compliance frameworks, audit trails, and data security policies for AI models.
Custom Software Development
Integrate predictive ML models and custom AI algorithms directly into core enterprise software.
Cloud Engineering & Architecture
Design high-throughput, elastic cloud environments to host scalable machine learning workloads.
Trusted by pioneering startups & industry leaders.
Collaborating with certified cloud platforms and global enterprises to engineer mission-critical digital products.
Proven technical excellence, validated by leaders.
Discover how our agile engineering pods accelerate delivery, eliminate latency bottlenecks, and scale digital products for global enterprises.
Succeed faster with Leapsofts
If you submit a request today, your MVP will be ready as early as January 12, 2027