Retrieval-Augmented Generation (RAG)
Absolute Web builds retrieval-augmented generation systems that ground AI answers in your actual documents, data, and knowledge base — instead of letting a model guess from what it learned during training. We handle the parts that determine whether a RAG system actually works in production: chunking strategy, embedding model selection, retrieval quality, and re-ranking, not just wiring a vector database to an LLM and calling it done. The result is a system that answers from your real data and tells you when it doesn’t know, rather than confidently making something up.
LLM Fine-Tuning
Absolute Web fine-tunes existing large language models on your data so they perform your specific task accurately — without the cost, timeline, or infrastructure a from-scratch build requires. Whether it’s LoRA fine-tuning for efficient domain adaptation, full fine-tuning for maximum control, or instruction tuning to shape model behavior around your workflows, we pick the method that matches your data volume and goals, then validate the result against your actual use case rather than a generic benchmark.
Custom LLM Development
Most businesses don’t need a model built from scratch — fine-tuning an existing base model gets them there faster and cheaper. Custom LLM development is for the smaller set of cases where that’s genuinely not enough: proprietary domain vocabulary a general model handles poorly, data sovereignty requirements that rule out third-party APIs, or a competitive moat that depends on owning the model outright. Absolute Web builds these from the ground up — architecture decisions, training data pipelines, and infrastructure — for teams that have already determined a custom build is the right call.
AI Strategy & Consulting
Absolute Web’s AI strategy and consulting practice exists for the question most companies skip: not “how do we use AI,” but “which of our problems are actually worth solving with it.” We assess your data, team capabilities, and business priorities to build a realistic AI roadmap — ranking initiatives by feasibility and impact rather than chasing every trend — then stay involved through implementation so the strategy doesn’t sit in a slide deck while the technology moves on without you.
LLM Development
Absolute Web handles the full lifecycle of large language model development — from choosing the right base model and fine-tuning approach, through training infrastructure, to the evaluation work most teams skip until something breaks in production. We work at the model engineering layer: tokenization and context strategy, fine-tuning method selection, training pipeline design, and rigorous evaluation against your actual use case, not a generic benchmark. If your team needs an LLM that’s genuinely tuned to your domain rather than a thin prompt wrapper, this is where we start.
Document Image Processing
We build document image processing systems that turn scanned forms, invoices, contracts, and ID documents into structured, usable data — automatically classifying document types, extracting the fields that matter, validating them against business rules, and routing the results into your existing systems. Our document processing team goes beyond raw text extraction: we build the classification, validation, and workflow logic that turns a pile of scanned paperwork into a reliable, automated data pipeline. Whether you’re processing invoices, claims, applications, or ID documents, we build the system around your specific document types and downstream business systems.
Medical Image Analysis
We build custom medical image analysis models that help clinical and healthcare teams detect, measure, and prioritize findings in radiology, pathology, and other diagnostic imaging — faster triage of abnormal scans, automated measurement of anatomical structures, or second-read support for radiologists. Our medical image analysis development team works directly with DICOM and other clinical imaging formats, and builds with the data privacy, validation rigor, and documentation that healthcare deployments require. Whether you’re augmenting a radiology workflow or building imaging analysis into a diagnostic product, we build models around your clinical use case and your compliance obligations.
Video Analytics Solutions
We build video analytics solutions that turn hours of camera footage into business insight — footfall trends, dwell-time patterns, heatmaps of where people spend time, and conversion or engagement metrics you can report on and act on. Rather than a live alert for a single event, our video analytics systems aggregate what cameras see over days, weeks, and months into dashboards your operations, marketing, or facilities teams actually use for decisions. Whether you need retail footfall analytics, workplace space utilization reporting, or behavior trend analysis across multiple locations, we build the pipeline from raw video to a reporting dashboard your team can rely on.
Facial Recognition Systems
We build custom facial recognition systems for identity verification, access control, and authentication — matching a live face against a reference photo, verifying identity during onboarding, or securing entry to a facility or application. Our facial recognition development team pairs accurate face-matching models with the confidence thresholds, liveness checks, and privacy safeguards these systems require, since facial recognition carries compliance obligations that most other computer vision use cases don’t. Whether you need one-to-one verification for identity checks or one-to-many matching for access control, we build the system around your accuracy, security, and regulatory requirements.
Object Detection Systems
We build real-time object detection systems that watch a video feed or camera stream and act on what they see — counting people or vehicles, flagging safety violations, monitoring restricted areas, or tracking inventory movement across a facility. Our object detection development team goes beyond training a model in isolation: we build the full system around it — live inference, alerting, dashboards, and integration with your existing cameras or sensors — so detection results turn into action, not just data sitting in a log. Whether you need a single detection use case or a multi-camera monitoring system, we build it around your environment and your operational requirements.