BuildToSuit.ai

BUILDTOSUIT.AI / CORE CAPABILITIES

Five engineering
disciplines. One standard.

We design and deploy the AI systems business owners need to automate internal operations, secure proprietary data, and run language models inside infrastructure their boards can audit.

CAP_01 / PRIVATE LLM

Private LLM Fine-Tuning & Training

We train internal language models on your contracts, filings, product specs, and operational records. Weights stay inside your approved perimeter. Outputs match the vocabulary and decision logic your teams already use in production.

  • Domain-specific fine-tuning on ERP, CRM, and document archives you control.
  • Evaluation pipelines with accuracy benchmarks tied to your business KPIs.
  • Model versioning, rollback, and audit logs for board-level governance.

CAP_02 / AGENTIC

Agentic Workflow Automation

Agents execute approved administrative steps across CRM, HRIS, billing, and internal ticketing systems. Each action is logged. Operators retain override authority at every checkpoint.

  • Multi-system orchestration with declared state paths and policy gates.
  • Human-in-the-loop approval for high-risk financial and compliance actions.
  • Scheduled and event-triggered runs with full decision history.

CAP_03 / MULTI-MODAL

Multi-Modal Vision & Audio Processing

We process scanned forms, facility images, call recordings, and inspection footage inside unified pipelines. Structured data flows into the systems your finance and operations teams already run.

  • OCR and visual extraction on invoices, manifests, and compliance documents.
  • Audio transcription with speaker attribution for call center and field ops.
  • Cross-modal indexing so text, image, and audio records query from one interface.

CAP_04 / EDGE

Edge AI & On-Device Deployment

We deploy compressed models to factory floors, retail locations, and field hardware where cloud latency is unacceptable. Inference runs locally. Sync policies keep central systems updated without exposing raw data.

  • Quantized model builds optimized for ARM and industrial GPU targets.
  • Offline-first operation with controlled batch sync to central databases.
  • Hardware profiling and deployment playbooks for your existing device fleet.

CAP_05 / RAG

Retrieval-Augmented Generation (RAG) Infrastructure

We build vector stores, chunking pipelines, and retrieval layers grounded in your proprietary knowledge base. Responses cite source documents. Hallucination risk drops when answers trace to verified records.

  • Hybrid search across structured databases and unstructured document stores.
  • Permission-aware retrieval so agents only access records the user may view.
  • Continuous re-indexing as new filings, policies, and product data arrive.

CUSTOM ENGAGEMENT

Bespoke System Architecture

If your operational bottleneck requires a workflow not listed here, we engineer it from first principles. We map your proprietary logic, integrate your legacy APIs, and build the custom AI infrastructure to automate it. We do not adapt your business to software; we build software to execute your exact business requirements.