"Agile Infoways team delivered exceptional iOS and Android apps with responsive support and outstanding problem-solving expertise."
- Rob Machado
Generic AI models underperform on specialized domains. We fine-tune, train, and deploy custom large language models and ML systems on your proprietary data — giving you a permanent competitive edge.
Foundation models are trained on the internet — not your contracts, your clinical notes, your engineering specs, or your customer data. The performance gap shows.
GPT and similar models hallucinate industry-specific terms, misinterpret regulatory language, and produce outputs that require heavy human review.
Sending proprietary contracts, patient data, or trade secrets to third-party model APIs creates serious IP and regulatory exposure.
A generic model achieving 72% accuracy on your classification task is unusable. A fine-tuned model on your data can reach 94%+.
Routing every inference through a third-party API creates latency, rate limits, and per-token costs that become prohibitive at enterprise volumes.
We build custom AI models — fine-tuned LLMs, domain-specific classifiers, and specialized generative systems — trained on your proprietary data and deployed in your environment. No data leaves your perimeter. No generic performance floor. A model that understands your business as deeply as your best expert.
Get a Free DemoFine-tuned LLMs on your proprietary corpus — contracts, SOPs, product data, clinical notes, engineering specs.
Private deployment in your cloud (AWS, Azure, GCP, on-premises) — your data never leaves your environment.
Domain-specific classifier models with 90%+ accuracy on specialized categorization, extraction, and routing tasks.
Custom embedding models for semantic search, document retrieval, and similarity matching in your domain.
Model compression and quantization for cost-efficient, low-latency inference at production scale.
Full ownership of model weights, training pipelines, and serving infrastructure — no vendor lock-in.
From fine-tuning to production deployment — a complete custom AI engineering practice for specialized enterprise use cases.
Supervised fine-tuning and RLHF on your domain data using LLaMA 3, Mistral, Falcon, and other open-weight foundation models.
Domain-specific embedding models for semantic search, document clustering, and retrieval-augmented generation with your proprietary data.
High-precision classifiers and NER models for document processing, contract analysis, medical coding, and complex categorization tasks.
Custom vision-language models for document understanding, invoice processing, medical imaging analysis, and product inspection.
Quantization (INT4, INT8), distillation, and ONNX export for fast, cost-efficient inference — 5–10x cheaper than cloud API calls at scale.
Production model serving with auto-scaling, versioning, A/B testing, and drift monitoring — managed or self-hosted to your requirements.
A rigorous 4-phase process for building, validating, and deploying custom AI models that perform reliably in your production environment.
Assess your data assets, quality, and coverage. Build labeling pipelines and data cleaning workflows to create high-quality training datasets.
Select the optimal base architecture for your task. Fine-tune with domain data, hyperparameter search, and RLHF alignment where needed.
Benchmark against held-out test sets, adversarial prompts, and real-world edge cases. Establish production acceptance criteria.
Deploy to your environment with serving infrastructure, monitoring dashboards, and retraining pipelines. Full MLOps stack included.
Domain-specific AI delivering accuracy and performance that off-the-shelf models simply cannot match.
Global law firm reviewing 2,000+ contracts/month for clause extraction, risk scoring, and obligation tracking — consuming 60+ attorney hours weekly.
Fine-tuned LLM trained on 500,000 contracts extracted 40+ clause types with 96% accuracy. Attorney review time reduced by 80%. Flagged 3x more risk clauses.
Hospital coding team manually processing 8,000 clinical notes/month with 82% ICD-10 accuracy, generating claim denials and revenue cycle delays.
Custom NLP model fine-tuned on 200,000 de-identified clinical notes achieved 94.3% coding accuracy, reducing denial rate by 58% and speeding billing cycle.
Electronics manufacturer with 12% defect escape rate from manual visual inspection on high-speed production line, costing $3.4M/yr in warranty claims.
Custom vision model trained on 2M product images achieved 99.1% defect detection precision. Defect escape rate dropped to 0.3%. $2.8M annual savings.
Asset management firm with 50,000+ financial documents ingested daily requiring classification, extraction, and routing across 120+ document types.
Custom classifier with 97.8% accuracy across all document types, deployed on-premises with 40ms average inference latency at full production volume.
Deep domain expertise meets cutting-edge AI — delivering results where they matter most.
We build models you own, on infrastructure you control, with training pipelines you can operate. No SaaS subscription. No vendor dependency.
All training and inference runs in your environment. Your proprietary data is never sent to third-party model providers.
You own the model weights, training code, datasets, and serving infrastructure we build. No licensing fees or ongoing royalties.
We've built custom models for legal, healthcare, finance, manufacturing, and retail — deep domain knowledge means faster, more accurate training.
Model monitoring, drift detection, and automated retraining pipelines keep your model performing accurately long after initial deployment.
Precision-built AI that outperforms generic models where domain expertise and data privacy matter most.
Custom LLM fine-tuned on 500K legal contracts. Extracts 40+ clause types, flags risk language, and tracks obligations across the full contract lifecycle.
Clinical NLP model fine-tuned on 200K de-identified notes. Integrated with Epic EHR. Reduced coding denials by 58% and billing cycle by 3 days.
Vision AI model trained on 2M product images for real-time QA on high-speed production line. Deployed edge-side for sub-50ms inference.
Share your use case and data context. We'll assess what's possible and show you what a custom model could achieve on your benchmark.
Hear directly from the leaders who partnered with us to ship AI-powered products, modernize platforms, and move faster than they thought possible.
"Agile Infoways team delivered exceptional iOS and Android apps with responsive support and outstanding problem-solving expertise."
- Rob Machado
"Great company with great management quality developers were really dedicated to get the job done in a timely cost-effective manner."
- Alexandar Salahsour
"They consistently delivers reliable, high-quality development solutions with exceptional communication, value, and trusted partnership."
- Joe Pellegrino, Jordan Pellegrino
Book a call or drop us a message. Our team will respond within 24 hours.
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