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Inspire AI Lab

Services

How we work, end to end

We cover the full life of a private AI deployment — from sizing and selection through deployment, tuning, and ongoing operations. Pick the service that matches what you need, or talk to us about a bundle.

  • 01 / 09

    Private AI Assessment

    We evaluate your use case, size the infrastructure, and model the real cost of running AI in-house, then deliver a concrete plan.

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    What we deliver

    • Use-case and workload analysis
    • Model selection and fit assessment
    • Hardware and VRAM sizing
    • On-prem vs cloud vs API cost modeling
    • Self-host break-even analysis

    Tools & technologies

    Hugging Face · NVIDIA GPUs (A100, H100, L40S) · AWS · GCP · Azure · Open models (Llama, Qwen, Gemma, Mistral, DeepSeek)

  • 02 / 09

    Private LLM Deployment

    We install and stand up self-hosted language models on your hardware or cloud, configured and verified against your targets.

    What we deliver

    • On-premise and private-cloud deployment
    • Engine selection and configuration
    • Quantization and model setup
    • Performance and accuracy validation
    • OpenAI-compatible endpoint delivery

    Tools & technologies

    vLLM · llama.cpp · TGI · SGLang · Ollama · Docker · GGUF / AWQ / FP8

  • 03 / 09

    Inference Optimization

    We make deployments faster and cheaper through deep performance engineering.

    What we deliver

    • Quantization (weights and KV-cache)
    • Continuous batching and PagedAttention
    • Speculative decoding
    • Latency profiling (TTFT, TPOT, throughput)
    • Cost-per-token reduction

    Tools & technologies

    vLLM · TensorRT-LLM · SGLang · CUDA · FlashAttention · Quantization toolkits

  • 04 / 09

    RAG & Knowledge Systems

    We design retrieval pipelines over your own documents and data.

    What we deliver

    • RAG pipeline architecture
    • Vector database selection
    • Chunking and embedding strategy
    • Hybrid search (semantic + keyword)
    • Retrieval-latency optimization and ingestion at scale

    Tools & technologies

    pgvector · Qdrant · Weaviate · Milvus · LlamaIndex · LangChain · sentence-transformers

  • 05 / 09

    Agentic AI Systems

    We build multi-agent and tool-using workflows with oversight built in.

    What we deliver

    • Multi-agent orchestration
    • LangGraph and CrewAI pipeline design
    • MCP server development
    • Agentic latency profiling
    • Human-in-the-loop workflow integration

    Tools & technologies

    LangGraph · CrewAI · Model Context Protocol (MCP) · LangChain · Claude & open models

  • 06 / 09

    Document Intelligence

    We build multilingual, audit-grade document-processing pipelines that run on your own models.

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    What we deliver

    • Multi-tier OCR for multilingual and degraded scans
    • Verbatim, zero-hallucination extraction
    • Classification and structured-field extraction
    • Human-in-the-loop review and audit trails
    • High-volume ingestion pipelines

    Tools & technologies

    PaddleOCR · Tesseract · Vision-language models · AWS Textract · Fine-tuned open models

  • 07 / 09

    Voice & Conversational AI

    We build private voice agents and phone-based workflows.

    What we deliver

    • Voice agents and IVR systems
    • Speech-to-text and text-to-speech integration
    • Call intake and routing automation
    • Multilingual voice support
    • Telephony integration

    Tools & technologies

    Twilio · ElevenLabs · Whisper · STT / TTS pipelines · FastAPI

  • 08 / 09

    AI Application Development

    We build complete production AI applications end to end, tying the models, retrieval, and pipelines into a deployed product.

    What we deliver

    • Production services in Python and FastAPI
    • API design and third-party integrations
    • Application interfaces and user workflows
    • Background jobs and data pipelines
    • Deployment and release

    Tools & technologies

    Python · FastAPI · Next.js · PostgreSQL / Neon · Inngest · Docker · Vercel

  • 09 / 09

    Managed AI Operations

    We monitor, maintain, and keep your private AI infrastructure healthy and current.

    What we deliver

    • Live monitoring (latency, throughput, GPU, cost)
    • Alerting and incident response
    • Model and engine updates
    • Capacity and scaling management
    • Ongoing optimization

    Tools & technologies

    Prometheus · Grafana · Monitoring / observability stacks · CI/CD pipelines

See what running AI in-house would actually cost you

Use the Planner to size a model, the hardware to run it, and the real spend — on your own infrastructure or in the cloud.

Try the PlannerBook an assessment