AI Lab
Deep Learning Services that outperform generic AI.
Apptware is a deep learning development company engineering production-grade neural networks, transformer architectures, and reinforcement learning agents for enterprises. We deliver custom deep learning solutions that outperform frontier APIs on your domain benchmarks, in your environment, with your weights.
PROVEN IMPACT
Results clients can feel.
95%
Domain accuracy on client benchmarks
100+
Deep learning models deployed
100%
Model weights owned by clients
TRUSTED BY ENTERPRISES
RUNNING AI IN PRODUCTION
Deep Learning Services
End-to-end deep learning development services, from data to deployment.
As a deep learning development company, we engineer the full neural network lifecycle. Data curation, architecture design, training, evaluation, optimization, and production deployment. Senior engineers led by AI researchers with publications and shipped models.
Deep Learning Model Development
Custom neural network development services covering architecture design, training, and evaluation. Transformer, diffusion, CNN, and hybrid architectures engineered for your specific domain and use case.
Deep Learning Consulting
Strategic deep learning consulting for enterprises evaluating where to apply neural networks. Feasibility studies, architecture recommendations, ROI projections, and pragmatic build-vs-buy guidance.
Reinforcement Learning Services
RL agents that learn through interaction. Policy gradient methods, Q-learning, multi-agent systems, and RLHF for aligning LLMs. Built for sequential decision-making in dynamic environments.
Neural Network Development Services
Custom neural architectures including transformers, diffusion models, graph neural networks, and vision-language models. Designed for your data characteristics and inference budget.
Model Evaluation & Benchmarking
Custom evaluation harnesses built with your SMEs. We benchmark against GPT-4, Claude, and open-weight models before training to validate our deep learning model development is worth the investment.
Inference Optimization & Deployment
Quantization (INT8, FP8), distillation, pruning, and inference engines (vLLM, TensorRT-LLM). Deployed on cloud, on-prem GPU, or edge devices with sub-300ms latency targets.
Neural Architectures We Engineer
Modern neural network development, not 2018-era CNN tutorials.
We build with the architectures actually powering production AI today. Transformer-based models, foundation model fine-tuning, multimodal systems, and reinforcement learning agents.
Transformer Architectures
Encoder, decoder, and encoder-decoder transformers. Attention mechanisms, positional encoding, and architectural variants for your sequence length and compute budget.
Vision & Vision-Language
CNNs, Vision Transformers (ViT), CLIP, and multimodal VLMs. Custom-trained for medical imaging, defect detection, satellite analytics, and document understanding.
Diffusion & Generative Models
Stable Diffusion, latent diffusion, and conditional generation models. Custom training for image generation, synthetic data, and creative AI workflows.
Foundation Model Fine-Tuning
LoRA, QLoRA, full-parameter fine-tuning, DPO, and RLHF. Adapt Llama 4, Mistral, Qwen 2.5, DeepSeek, and Gemma 3 to your domain with parameter-efficient methods.
Graph Neural Networks
GNNs for fraud rings, supply chain optimization, drug discovery, and knowledge graphs. Message passing, graph attention, and heterogeneous graph architectures.
Sequence & Time Series
Transformer-based forecasting (Informer, TFT), recurrent architectures, and state space models. Built for demand forecasting, anomaly detection, and predictive maintenance.
Why Custom Deep Learning
Generic models hit a ceiling. Custom deep learning solutions don't.
Off-the-shelf APIs train on the open web. Your enterprise runs on proprietary data, regulated workflows, and domain vocabulary no pre-trained model has seen. That gap is why custom deep learning model development outperforms generic AI on every benchmark that matters.
Dimension
Domain Accuracy
Data Privacy
Inference Latency (P95)
Model Ownership
Cost at Scale
Customization
Compliance
Generic AI APIs
60 to 72%
Prompts leave your network
800ms to 2.4s
Vendor-locked API
Per-token pricing
Prompt engineering only
SOC 2 at best
Apptware Custom Deep Learning
95%+ on your benchmarks
Private VPC · On-prem · Air-gapped
Under 300ms
100% client-owned weights
Fixed cost after training
Full architectural control
HIPAA · GDPR · SR 11-7 · EU AI Act
Dimensions | | |
|---|---|---|
Domain Accuracy | 60 to 72% | 95%+ on your benchmarks |
Data Privacy | Prompts leave your network | Private VPC · On-prem · Air-gapped |
Inference Latency (P95) | 800ms to 2.4s | Under 300ms |
Model Ownership | Vendor-locked API | 100% client-owned weights |
Cost at Scale | Per-token pricing | Fixed cost after training |
Customization | Prompt engineering only | Full architectural control |
Compliance | SOC 2 at best | HIPAA · GDPR · SR 11-7 · EU AI Act |
Tech Stack
Built with the tools your engineers actually use.
We engineer with the modern deep learning stack. No 2018-era TensorFlow tutorials. Production-ready frameworks, optimized inference engines, and the orchestration tools that make models ship.
PyTorch
JAX
Transformers
PEFT / LoRA
vLLM
TensorRT-LLM
Triton
ONNX
Ray RLlib
Stable-Baselines3
Weights & Biases
Kubernetes
Industries
Deep learning tuned for your domain.
Our deep learning services have shipped models into production across regulated and high-stakes industries. Each engagement begins with domain SMEs co-designing the evaluation harness.
Intelligent Healthcare Systems
AI built for clinical environments, trained on the workflows, compliance frameworks, and medical terminology that actually
AI for Modern Banking & Insurance
From fraud detection to underwriting, we build AI that holds up under regulatory scrutiny and still runs fast enough for real-time decisions.
Intelligent Automotive Solutions
AI built for the automotive industry, trained on driving workflows, safety protocols, and vehicle dynamics that actually improve performance.
AI-Powered Manufacturing
AI built for the shop floor, predictive maintenance, quality control, and supply chain intelligence that actually keeps pace with production.
AI-Powered Agriculture
Crop monitoring, yield prediction, and resource optimisation: AI that works at the scale real agricultural operations demand.
AI for Modern Retail
Deliver personalized shopping experiences, optimize inventory, and automate operations with AI built for today's fast-moving retail landscape.
Reinforcement Learning for Business
RL agents that learn from your business.
Reinforcement learning for business isn't just AlphaGo and game-playing. We deploy RL agents that optimize real operational decisions where the cost of wrong choices is measurable. From dynamic pricing to inventory allocation, from RLHF alignment to autonomous decision systems.
Dynamic Pricing & Bid Optimization: RL agents that adapt pricing in real time across millions of SKUs, ad bids, or financial instruments.
Supply Chain & Inventory: Multi-echelon inventory agents that balance carrying costs against stockout risk across regions.
RLHF for LLM Alignment: Reinforcement learning from human feedback to align language models with your expert preferences and brand voice.
Autonomous Robotics & Control: Policy learning for industrial robotics, autonomous warehouses, and complex control systems.
Recommendation & Personalization: RL-driven recommendation engines that optimize for long-term user value, not just next-click probability.
PPO
Proximal Policy Optimization for stable continuous control
DQN
Deep Q-Networks for discrete action spaces
SAC
Soft Actor-Critic for sample-efficient learning
MARL
Multi-Agent RL for collaborative and competitive systems
RLHF
Reinforcement Learning from Human Feedback for LLM alignment
Offline RL
Learn from historical data without live exploration
Custom Deep Learning Solutions
Trained on your data. Deployed on your terms.
Every custom deep learning solution we deliver is engineered for your security perimeter, latency targets, and regulatory environment. Weights, training code, evaluation harnesses, and deployment infrastructure: all yours.
01
Cloud Deployment
Production deployment on AWS, Azure, or GCP. Auto-scaling inference clusters, serverless endpoints (SageMaker, Vertex AI, Azure ML), and GPU instance optimization for cost-efficient scale.
02
On-Prem & Private VPC
Deploy entirely inside your data center or private VPC. We engineer for NVIDIA H100, A100, L40 clusters and ensure no data, prompts, or weights ever leave your network.
03
Air-Gapped Environments
For regulated industries (BFSI, healthcare, defense, sovereign jurisdictions), we build air-gapped deep learning pipelines where training and inference happen entirely offline.
04
Edge Deployment
Quantized and distilled models for NVIDIA Jetson, Coral TPU, and ARM-based devices. Real-time inference at the edge for industrial, agricultural, and IoT applications.
Apptware Solutions' work helped the client improve their time-to-market. The team retained all core resources throughout the contract. Apptware Solutions assigned a project manager to oversee the tasks and timelines. The team was proactive in communicating and responding to the client.
Get Started
Ready to See What
AI Can Do for You?
Stop evaluating AI in the abstract. We'll audit your data, workflows, and systems to show you exactly where custom AI can create real ROI, before you commit to anything. No pitch decks. No generic demos. Just a clear, honest picture of what's possible for your business.
No-cost AI audit
100% IP ownership
No commitment required
US & India presenceFAQ'S
Questions enterprises ask before they build.
Traditional ML works on hand-engineered features and structured tabular data. Deep learning works directly on raw data (images, text, audio, sequences) and learns hierarchical representations through multi-layer neural networks. For unstructured data, complex patterns, and modern foundation model workflows, deep learning is the default. For small tabular datasets where interpretability matters more than performance, classical ML still wins. We help you choose the right tool for your problem.
Ready to Build Your Next AI-native Product?
Give us 45 minutes to understand your goals. We’ll recommend where AI can create measurable impact and share a practical roadmap with timelines, architecture, and delivery estimates within five business days.
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