M
MacroInception

Our Capabilities

End-to-end AI systems
engineering

From initial prototyping to production deployment and ongoing optimization, we provide comprehensive services to build, scale, and maintain high-performance AI infrastructure.

Capabilities

Specialized Services

Advanced extraction, deployment, and optimization architectures engineered for absolute performance.

01

Vector Databases & Search

  • High-performance core implementations
  • Disk-based indices scaling to 1B+ vectors
  • Hybrid dense/sparse search indexing
  • Real-time streaming updates
  • Multi-modal embedding search architecture
02

Model Optimization

  • Quantization (INT8/FP8) & pruning logic
  • TensorRT & ONNX runtime acceleration
  • Direct knowledge distillation pipelines
  • Low-latency inference precision tuning
  • GPU memory footprint orchestration
03

MLOps & Infrastructure

  • Hardened CI/CD pipelines for ML models
  • State-tracking & versioning protocols
  • Immutable model registry & governance
  • Deep Grafana monitoring & observability
  • Self-healing automated retraining
04

RAG & Knowledge Systems

  • Enterprise retrieval-augmented generation
  • Parallel document processing pipelines
  • Advanced chunking & embedding strategies
  • Hardware-aware context window optimization
  • Synchronous multi-source knowledge integration
05

Performance Engineering

  • Latency decimation (P50, P95, P99 guarantees)
  • Absolute throughput & capacity planning
  • Intensive cost-performance mathematical modeling
  • Profiling & strict bottleneck ablation
  • Stress testing & graceful failure recovery tactics
06

Enterprise Consulting

  • High-level architecture review & topology mapping
  • Penetrating technical audits & SOC2 alignment
  • Standardization of best practices & runbooks
  • Deep technology stack evaluation
  • Strategic AI roadmap deployment planning

Technology Stack

Industry-leading infrastructure and frameworks mapped for deterministic scale.

PyTorch
Core Training
TensorFlow
Prod Serving
JAX
High-Perf AutoDiff
HF Transformers
LLM Foundation
scikit-learn
Classic ML
XGBoost
Gradient Boosting
LightGBM
Fast Gradient Trees
Triton Server
NVIDIA Inference
vLLM
High-Throughput LLMs
TensorRT
GPU Optimization
ONNX Runtime
Cross-Platform Exec
TorchServe
PyTorch Models
FastAPI
Async API Routers
Ray Serve
Distributed Serving
Kubernetes
Orchestration
Docker
Containerization
Terraform
IaC Provisioning
Ansible
Config Mgmt
AWS / Azure / GCP
Cloud Compute
CUDA & cuDNN
GPU Acceleration
Apache Spark
Distributed processing
Kafka & Flink
Stream processing
Airflow
Pipeline Orchestration
Pandas & Polars
Dataframes
DuckDB
In-process SQL OLAP
PostgreSQL
Relational State
Faiss
Core Similarity
Milvus
Cloud-native Vector DB
Qdrant
Rust-based Engine
Weaviate
Hybrid Search DB
Pinecone
Managed Vector Search
ChromaDB
AI-native OSS Embed DB
MLflow
Lifecycle Tracking
Weights & Biases
Experiment Logging
DVC
Data Versioning
Kubeflow
K8s ML Toolkit
Seldon
Model Deployment
Prometheus/Grafana
Metrics Observability

How We Work

Flexible engagement models to match your enterprise needs and engineering constraints.

Project-Based Acceleration

Fixed-scope engineering projects with defined architecture deliverables and deployment timelines. Ideal for specific model implementations or infrastructure migrations.

  • Clear scope & deliverables
  • Fixed timeline & budget bounds
  • Comprehensive architectural documentation
  • Guided deployment & knowledge transfer
Most Selected

Continuous Partnership

Embedded, ongoing partnership for continuous model development, latency optimization, and infrastructure scaling. Perfect for continually evolving AI systems.

  • Dedicated senior engineering allocation
  • Agile, flexible scope adjustments
  • Priority incident response SLAs
  • Monthly cloud cost & optimization reviews

Strategic Consulting

Expert guidance for architecture, strategy, and technical decisions. Great for roadmap planning, system audits, and team training.

  • Architecture review & design
  • Technology recommendations
  • Performance & latency audits
  • Engineering team training & workshops

Ready to scale your AI infrastructure?

Schedule a technical consultation to discuss your specific infrastructure and scaling engineering needs.