“Promptapp replaced our fragile third-party API wrappers with an in-house fine-tuned LLM. Our operational costs dropped by 55% immediately.”
Move beyond generic wrappers and standard APIs. We architect, fine-tune, and deploy purpose-built AI systems engineered around your proprietary data, workflow complexity, and enterprise security needs.
From initial data feasibility to enterprise production rollout, here is our battle-tested development framework.
We analyze your proprietary data readiness, technical bottlenecks, security requirements, and target ROI.
We design custom model architectures, select foundational models, and build a working PoC within 2 weeks.
Domain-specific model training, vector database integration, and embedding alignment on your private infrastructure.
Zero-downtime production deployment, real-time drift detection, continuous automated retraining, and enterprise monitoring.
Every custom AI solution we deliver comes with guaranteed data sovereignty, production stability, and commercial clarity.
Zero data leakage. Your models and vector stores run strictly inside your own private VPC, on-prem cluster, or dedicated environment.
Custom-trained models adapted to your unique industry taxonomy, edge cases, and business logic for high benchmark accuracy.
You own all proprietary weights, source code, training pipelines, embeddings, and generated data with zero platform lock-in.
High-availability API wrappers, sub-second latency guarantees, automated failovers, and dedicated ML architects on call.
Building real custom AI requires deeper engineering than calling third-party APIs. Here is our competitive advantage:
Build custom AI architectures that protect your data and give your brand a genuine technological moat.
Flexible engagement tiers designed to adapt to your technical maturity and delivery velocity.
A full autonomous cross-functional unit—AI researchers, data engineers, MLOps specialists, and full-stack devs working 100% on your product vision.
Fixed-scope, milestone-governed delivery. From initial discovery and PoC to enterprise cloud deployment, managed with predictable pricing and deadlines.
Directly embed senior machine learning engineers and LLM specialists into your internal development sprints to unblock critical technical milestones.
End-to-end technical depth across the modern generative AI, computer vision, and machine learning landscape.
Sub-second semantic search, hybrid retrieval, and knowledge ingestion across complex proprietary documents, databases, and enterprise systems.
Multi-agent architectures built on LangGraph and AutoGen capable of orchestrating multi-step workflows, tool calls, and decision-making.
Domain adaptation of open-source foundational models (Llama, Mistral, DeepSeek) using LoRA/QLoRA on your private enterprise data.
Custom object tracking, automated defect detection, video stream analysis, and intelligent document layout understanding.
Deep neural network time-series modeling for automated demand forecasting, churn prediction, algorithmic pricing, and anomaly detection.
Proprietary text classification, entity extraction, compliance scanning, multi-language translation, and audio voice transcription pipelines.
Connecting legacy ERPs, CRMs, and internal tools with AI orchestrators to eliminate repetitive manual processes with human-in-the-loop controls.
Quantizing and deploying models directly on on-premises edge servers, mobile devices, and IoT hardware for zero-cloud latency and offline resilience.
Proven performance benchmarks achieved across our custom machine learning and LLM client deployments:
Real feedback from technology leaders who trusted us to architect and deploy their core AI systems.
“Promptapp replaced our fragile third-party API wrappers with an in-house fine-tuned LLM. Our operational costs dropped by 55% immediately.”
“Their engineers built an enterprise RAG system that searches 40 million legal records with sub-second latency. Flawless execution.”
“We needed a computer vision model that worked on low-powered edge devices with zero internet access. Promptapp shipped it in 6 weeks.”
Book a technical scoping session with our principal AI architects to evaluate your use case.
Key questions answered about custom enterprise AI development and deployment.