Production Deployments

AI Consulting Results

Empirical outcomes from our 12-person team. We build, audit, and scale AI systems for enterprise production environments.

ClientFinSecure Global|Fintech & Trading
Lead: Alice Chen, Head of AI Research

Low-Latency RAG for Real-Time Institutional Compliance

Challenge

Managing 140,000 multi-market regulatory documents with strict auditability and sub-second validation deadlines.

Architecture
  • Hybrid Vector & BM25 Retrieval Engine
  • Self-Hosted Llama-3 70B Quantized (vLLM)
  • Strict Deterministic Guardrails & Citation Verifier
MetricsAUDITED
78%
Latency Reduction

From 4.2s down to 920ms p99

4.8x
Throughput Multiplier

1,200 req/sec concurrent load

99.4%
Verified Accuracy

Zero hallucinated citations in audit

Stack
vLLMQdrantRay CorePyTorchKubernetes

Deployment: 4-8 weeks.

ClientApex Health Informatics|Healthcare & Diagnostics
Lead: Raj Patel, Senior ML Engineer

High-Throughput Vision-Language Model for Pathology Triage

Challenge

High volume of multi-gigabyte pathology scans causing compute bottlenecks and multi-hour review delays.

Architecture
  • Distributed Tensor Parallelism on 32x H100s
  • Custom Contrastive Fine-Tuned Vision Transformer
  • Edge-Deployed Quantized Inference Nodes
MetricsAUDITED
6.2x
Inference Speedup

Real-time edge triage under 180ms

-64%
Compute Cost

Optimized cluster dynamic provisioning

99.8%
Diagnostic Recall

Validated against 40,000 blind trials

Stack
TensorRT-LLMDeepSpeedTriton ServerCUDAFastAPI

Deployment: 4-8 weeks.

ClientNexus Global Freight|Enterprise Supply Chain
Lead: Lisa Gomez, Data Engineer Lead

Predictive Telemetry & Autonomous Routing Engine

Challenge

Legacy route calculators failed to adapt dynamically to severe port congestion and fuel volatility.

Architecture
  • Streaming Graph Neural Network (GNN)
  • Continuous Kafka Ingestion with 10M events/min
  • Automated MLOps Feedback & Drift Retraining
MetricsAUDITED
$3.4M
Fuel Cost Savings

Annualized net operational efficiency

10M+
Pipeline Throughput

Real-time sensor events per minute

96.7%
ETA Reliability

+31% improvement over legacy models

Stack
PyTorch GeometricApache KafkaPolarsMLflowArgo

Deployment: 4-8 weeks.

Need custom benchmarks?

Our team assesses model feasibility and throughput constraints.

Expert AI Consultation
Consulting Slots Open

Book Your AI Strategy Session

Consult with our senior AI team. We assess your technical stack, identify performance bottlenecks, and define your path to production.

Technical AI Audit

Direct review of your data pipelines, model latency, and infrastructure.

Compute & Cost Analysis

Empirical breakdown of inference costs, scaling, and ROI projections.

AI Roadmap Blueprint

Actionable strategy tailored to your stack and business objectives.

Senior Engineering Leads

Direct access to our core team.

Confidential Audit
30 Min Session
Remote

Session Agenda:

  • Audit current data & compute stack
  • Identify high-impact AI use cases
  • Define deployment & risk roadmap
  • Resource & team alignment
12
AI Consultants
99.9%
System Uptime
<50ms
Inference Speed