AI & ML

What we’re great at: Turning business goals into production AI—measurable, safe, and fast.

More:
• How we help: From discovery to proof of concept to full-scale deployment. Our squads cover product management, AI engineering, MLOps, and full-stack development.
• Focus: Guardrails, safety checks, data privacy, and continuous monitoring.
• Deliverables: Production-ready models, pipelines, feature stores, dashboards, and runbooks.
• KPIs: Time-to-first-model, model accuracy, hallucination rate, latency, and adoption metrics.

⸻

FastAPI

What we’re great at: Blazing-fast Python backends for ML/LLM services and micro-APIs.

More:
• How we help: Build scalable APIs, stream tokens, add authentication, and ship to any cloud.
• Deliverables: Versioned APIs, CI/CD pipelines, and performance test reports.
• Use cases: Model serving, webhooks, and internal services.

⸻

LangChain • LangGraph • LangFuse • LangSmith

What we’re great at: Reliable agentic and RAG apps with first-class observability.

More:
• How we help: Design multi-step workflows with LangChain/LangGraph, and add tracing, feedback loops, and evaluations with LangFuse and LangSmith.
• Deliverables: Reusable workflows, evaluation suites, golden datasets, and dashboards.
• KPIs: Task success rate, hallucination reduction, latency, and regression alerts.

⸻

Ollama • vLLM

What we’re great at: Cost-efficient, low-latency LLM inference—on your GPUs or ours.

More:
• How we help: Model right-sizing, quantization, autoscaling, and secure deployments.
• Deliverables: Inference clusters, scaling policies, and cost/performance benchmarks.
• KPIs: Tokens per second, latency, GPU utilization, and cost efficiency.

⸻

Text-to-Speech (TTS) • Speech-to-Text (STT)

What we’re great at: Natural voices and accurate transcripts for real-time products.

More:
• How we help: Streaming transcription for call centers, multilingual TTS for chatbots, and voice quality improvements.
• Deliverables: Real-time APIs, noise-robust pipelines, and privacy filters.
• KPIs: Accuracy, real-time factor, and language coverage.

⸻

ML Models (TensorFlow • PyTorch • Scikit-learn)

What we’re great at: From classic ML to deep learning with strong MLOps foundations.

More:
• How we help: Model training, hyper-parameter tuning, feature engineering, and explainability.
• Deliverables: Training pipelines, model registries, and monitoring solutions.
• KPIs: Accuracy/F1, drift detection, training time, and deployment frequency.

⸻

Hugging Face Transformers • PEFT

What we’re great at: Domain-tuned models that deliver higher performance at lower cost.

More:
• How we help: Fine-tuning with PEFT/LoRA, dataset curation, and prompt optimization.
• Deliverables: Fine-tuned checkpoints, inference adapters, and evaluation reports.
• KPIs: Accuracy, hallucination rate, and cost per query.

⸻

RAG (Retrieval-Augmented Generation)

What we’re great at: Grounded answers from your data—fast, fresh, and verifiable.

More:
• How we help: Document ingestion, hybrid retrieval, re-ranking, and citation strategies.
• Deliverables: End-to-end RAG systems with evaluation and guardrails.
• KPIs: Answer correctness, retrieval speed, and coverage.

⸻

Vector Stores (Milvus • Weaviate • Pinecone • Meilisearch)

What we’re great at: High-performance search and retrieval with clean governance.

More:
• How we help: Schema design, hybrid search, scaling, and compliance.
• Deliverables: Managed vector stores, migration plans, and observability dashboards.
• KPIs: Recall@K, query latency, index build time, and cost efficiency.

⸻

ChatGPT APIs (OpenAI) • Copilot • Watson

What we’re great at: Deploying copilots and assistants tailored to your business.

More:
• How we help: Select the right model provider, build copilots, integrate RAG and tools, and ensure governance.
• Deliverables: Prompt libraries, telemetry, abuse detection, and cost control frameworks.
• KPIs: Task completion rate, automation coverage, average handle time, and cost per resolution.

⸻

UiPath • Blue Prism • Appian

What we’re great at: Enterprise-grade automation and business process management.

More:
• How we help: Process discovery, bot development, human-in-the-loop, and workflow orchestration.
• Deliverables: Automation bots, connectors, test suites, and ROI dashboards.
• KPIs: Hours saved, accuracy uplift, cycle-time reduction, and automation coverage.

⸻

Our Squad-as-a-Service Model
• Right-sized pods: Product owner, tech lead, ML/LLM engineer, full-stack developer, QA, DevOps/MLOps.
• Flexible engagement: Sprint-based or outcome-based with clear KPIs.
• SLAs: Uptime, latency, model quality, and bug triage windows.
• Security-first: VPC deployments, no data retention, SOC2-compliant processes.