Smaller fine-tuned transformer models typically outperform GPT-4 on well-defined classification tasks — running 100x faster and costing 50x less per inference. We recommend the right architecture for your accuracy, speed, and budget.
Discuss Your Project →Every layer of the NLP stack — from data labelling to production inference — with domain adaptation that consistently lifts accuracy 8–15 percentage points.
Fine-tuned sentiment models detecting emotion, aspect-level sentiment, and urgency accurately at scale — beyond simple positive/negative.
Custom NER models trained on your domain vocabulary — extracting the entities that matter to your business with high precision.
Automated document classification routing emails, categorising contracts, and flagging compliance issues at 1M+ documents per hour.
LLM-powered content generation fine-tuned on your tone and style — automated report generation with your brand voice.
Structured data extraction from unstructured text — turning invoices, contracts, and clinical notes into clean JSON for your systems.
NLP that works in your customers languages — 50+ language support with cross-lingual models that transfer knowledge across languages.
Best-in-class tools chosen for performance, reliability, and team expertise — not hype.
A clear, collaborative process with no surprises and working demos at every milestone.
Define the NLP task precisely, collect labelled examples, assess annotation quality, set precision, recall, and F1 targets.
Fine-tune BERT/RoBERTa/DeBERTa baseline. Benchmark accuracy, F1, and latency against your eval dataset.
Domain vocabulary injection, custom tokenisation, entity dictionaries, and data augmentation.
Quantisation, distillation, and batching for production throughput. Inference SLA and cost per document agreed.
Production inference API with streaming, batch processing endpoint, and async queue for high-volume workloads.
Weekly performance tracking, automated retraining on new data, model versioning, and drift detection.
No juniors, no mid-weight delegation. Every engineer on your project is 5+ years experience, senior by any measure.
We set Lighthouse 90+ as a non-negotiable acceptance criterion — not a target, a requirement. Deployments fail if CWV regress.
Unit, integration, and E2E tests as standard deliverable. We don't ship without coverage. No exceptions under deadline pressure.
Full system design — schema, API contracts, auth, deployment — documented and approved before any code is written.
WCAG 2.1 AA from component 1, not added at the end. Keyboard navigation, screen readers, colour contrast — non-negotiable.
End of every sprint, you get a live staging URL to click through. Not a Loom recording — a real deployed demo.
100% IP & code transfer. Your repo, your infra, your AWS account. Full documentation so your team can own it the day we hand over.
GA4, Mixpanel or Amplitude wired in before go-live. You launch with data, not waiting weeks to set up tracking after.
"They architected and built our entire web platform from scratch — real-time collaboration, complex permissions, WebSockets. Every edge case handled, zero bugs at launch."
"Our new storefront loads in 0.8s and converts at 3.2x our old Magento site. Every detail considered — mobile-first, accessibility, structured data. The results speak."
"From Figma to deployed in 8 weeks. Their React architecture thinking sets them apart from every agency I\"
"200K concurrent users on launch day — not a single outage. The infrastructure and caching strategy Nexcode built handled load I didn\"
"The real-time dashboard processes 1M+ events/day without a hiccup. Clean code, exceptional docs, and they explained every architectural decision. Extended the team afterward."
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Free NLP scoping call. We review your text data, define the right model architecture, and provide a fixed-price proposal with an accuracy guarantee.