Finance
Invoice extraction
DeepSeek-V3 · MNPI - no cloud egress · SQL generation for financial queries
↓ 89% inference cost vs GPT-4o
We integrate and self-host open-source DeepSeek v3 models that match gpt-class accuracy at a fraction of the cost, with benchmark-first selection and full ownership built in.
You get GPT-class results on real tasks while cutting per-token spend dramatically.
We take 200 real examples from your actual task distribution and run them through GPT-4o and the OSS candidate. We measure accuracy, hallucination rate, latency and cost per call. We produce a comparison report with a clear recommendation. Sometimes frontier wins; we say so.
We deploy OSS models with the same eval rigour, the same observability, the same fallback architecture we'd use for GPT-4o. OSS doesn't mean ungoverned. It means your infrastructure, with our production discipline applied.
Model weights, fine-tuning pipeline, eval suite, deployment config - all yours at handoff. Retrain quarterly on new data without engaging us. Serve on your infrastructure without a licence. No dependency on us for ongoing operation.
Most DeepSeek demos ignore GPU, latency, and ops the costs that decide production.
Whoever owns the AI bill: we benchmark accuracy and cost before you commit.
Extraction, classification, and code tasks running on self-hosted DeepSeek every day.
DeepSeek-V3 · MNPI - no cloud egress · SQL generation for financial queries
Llama 3.1 70B · PHI on-premise required · fine-tuned on clinical notes
Llama 3.1 405B · client data sensitivity · complex reasoning on contracts
Mixtral 8x7B · volume: 80k descriptions/day · cost primary constraint
Llama 3.1 70B · data sovereignty requirement · air-gapped deployment
DeepSeek-V3 · proprietary technical documentation · well-defined structured task
DeepSeek-V3 · coding benchmark within 3-5% of GPT-4o · 10x cheaper at scale
50M paper chunk vectors. HNSW for high recall. Runs alongside GPU inference cluster.
Fine-tuned Llama · domain-specific accuracy exceeds GPT-4o on retail reviews after fine-tuning
We benchmark open-source against your real data, then ship with cost on a dashboard.
Run comparative benchmark: GPT-4o vs OSS candidate on your 200-example task set. Cost model for infrastructure vs API pricing at your projected volume. Clear recommendation with rationale.
Model deployment on your infrastructure. Fine-tuning on your domain data where benchmark shows closeable gap. Eval harness.
API gateway. Application integration. Cost monitoring. Accuracy alerting. Fallback to frontier model on low-confidence outputs.
Runbooks. Retraining pipeline. Model version management. On-call docs.
The serving, GPU, and routing stack that keeps DeepSeek fast and affordable.
Live systems hitting GPT-class accuracy on your tasks at a fraction of the cost.
Deep teams with industry context - not generalists googling compliance acronyms. Each industry below has 30+ shipped projects and a partner who knows the regulator.
Telemedicine, EHR/EMR, claims automation, clinical decision support. HIPAA, HL7/FHIR, GDPR. Active partnerships with 14 hospital networks.
Core banking, neobank, payments, lending, KYC, fraud. PCI DSS, RBI sandbox, Open Banking, ISO 20022. We've shipped to Tier-1 banks in 4 countries.
Headless commerce, marketplace, omnichannel, AR try-on, AI recommendations. Shopify Plus, BigCommerce, custom. 22+ storefronts live with avg +34% AOV.
Last-mile optimisation, TMS, WMS, fleet IoT, route prediction, real-time tracking. Shipped to UPS, Alod and 11 other logistics operators.
OTT platforms, content recommendation, real-time encoding, multi-DRM, distribution at network scale. Sony Pictures, Hello Baby Direct and more.
LMS, adaptive learning, AI tutors, government portals. Shipped UKIERI for the British Council and 6 state-government education portals.
Real names, real companies, real numbers. Video on the left, written notes on the right - choose whichever feels more honest.
Although regulations prevented the site's launch, it met all requirements in terms of form and function. Fullestop's project plan charted a clear course to completion. The team's flexible, diverse talent pool enabled them to manage each stage of the project with consistent levels of skill.
Weekly demos, no surprises, and they push back when we're wrong. That last part is rare. Cut our cloud bill 47% in the first audit.
We constantly come up with top-tier resources and breathtaking
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DeepSeek provides superior performance in coding and reasoning, combined with greater control and clear, predictable cost-efficiency over proprietary alternatives.
DeepSeek demonstrates exceptional performance in technical and logical domains, making it an ideal engine for sophisticated reasoning and multi-step problem solving.
Its powerful logical deduction and reasoning capabilities are used to architect agents for complex tasks like financial analysis and logistics optimization.
It enables the deployment of high-quality chatbots and virtual assistants within your own infrastructure, avoiding high, per-transaction API costs.
Fine-tuning adapts the foundation model using your proprietary data, creating a specialized AI asset that understands unique terminology and processes.
We architect the full-stack solution, from secure private cloud deployment to complex fine-tuning data pipelines, creating a proprietary, optimized asset.
