Every Workflow.
One Shared Context.

ThinkStack will do everything for you. End-to-end Multimodal AI Workflows — agents read documents, watch video frames, ingest sensor streams, and run ML models — all within the same reasoning loop.

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Document Intelligence
Document Intelligence

OCR, extraction, deduplication, and structured export from any document format — invoices, forms, receipts, contracts.

Vision & Video
Vision & Video

Object detection, segmentation, and classification on camera frames, medical scans, or any image stream at scale.

Time-Series & Forecasting
Time-Series & Forecasting

Congestion prediction, anomaly detection, and capacity forecasting from sensor data, telemetry, and IoT streams.

Custom ML Training
Custom ML Training

Agent-guided model selection, training, and evaluation — deterministic outputs with SHAP, confusion matrix, and full audit trail.

From Raw Input to
Structured Insight

Three steps. Every time. Regardless of modality.

1
Ingest anything

Upload a folder, point to an API, or stream from MCP. ThinkStack parses every format — PDF, JPEG, CSV, DICOM, RTSP.

2
Agent reasons & acts

A multi-modal agent calls the right tools in sequence — OCR, vision models, forecasters — and logs every step as a live trace.

3
Structured output

Clean spreadsheets, dashboards, alerts, or trained models — with a full audit trail so every output is explainable and defensible.

See the Agent Work in Real Time

Feed it documents, streams, or databases — ThinkStack reasons through the full workflow and hands back structured output.

From Paper Chaos to Clean Data

No manual keying. No reformatting. Upload a folder of documents and receive a structured ledger, duplicate report, and cash-flow forecast.

Raw documents dropped in a folder. Invoices, receipts, and tax forms in mixed formats. The agent processes all 720 without any pre-sorting.

Structured data from every document. Every vendor, amount, date, and tax field extracted and written to a structured table.

Spend dashboard — live. Vendor totals, category breakdowns, and 30-day cash-flow forecast rendered automatically.

Results exported. Clean structured output, ready for finance review or direct export to your ERP.

Raw documents dropped in a folder
Structured data from every document
Spend dashboard — live
Results exported
Camera feeds processed in real time
Object detection across every frame
Model prediction

Do You Have Video Feeds? Give It to the Agent and Let It Handle the Rest.

Point the agent at your data feed, apis, mcps, simple uploads, zip files. Anything at any time, whatever suits your needs.

Upload your data. 19,488 frames ingested from highway corridor cameras in under 8 seconds.

Object detection across every frame. Cars, trucks, and buses counted per lane. Speed and density calculated per segment.

Model prediction. Pattern matching on historical flow data predicts capacity saturation windows with 94% accuracy.

Train ML Models from Zero Knowledge.

Send patient scans and labels. The agent selects the right model, trains it, evaluates with clinical-grade metrics, and exports a full audit trail.

280 patient scans + label CSV received. Agent unpacks the archive, validates label alignment, and prepares the training split automatically.

Research + Modeling + Action. The agent will handle the model selection, hyperparameter tuning, and cross-validation — no previous machine learning knowledge needed.

Full deterministic audit trail. Every prediction traces to a specific feature. Reproducible, inspectable, ready for clinical review.

280 patient scans + label CSV received
XGBoost classifier trained with 5-fold CV
Full deterministic audit trail

Works with Your Stack.

Connect ThinkStack to the tools your team already uses — cloud storage, ERPs, medical systems, cameras, and any REST or MCP endpoint. Every integration is built once and shared across every agent in your organisation.

✓Images, reports, data
✓OCR, extraction, analysis
✓Custom apis and integrations
✓Full audit trail

Related Modules

Build
Agentic MLOps
Train, evaluate, and deploy multimodal computer vision and specialized document perception models.
Orchestration
Flow Orchestrator
Coordinate multimodal branches with visual routing, human-in-the-loop validation, and automated retries.
Governance
Observability & Tracing
Trace high-resolution image, video, and audio payload transformations with end-to-end latency telemetry.

Frequently Asked Questions

Common questions about Multi-Modal AI Workflows.

What does multi-modal actually mean here?+
One agent working across formats in a single reasoning loop rather than separate tools per input type. ThinkStack handles document intelligence — OCR, extraction, deduplication and structured export — alongside vision and video, time-series forecasting from sensor and telemetry data, and custom model training.
What formats can it ingest?+
PDF, JPEG, CSV, DICOM and RTSP among others, from a folder upload, an API, or a stream. Input arrives without pre-sorting — mixed document types in one folder are processed together rather than separated first. ZIP archives are unpacked automatically, and validated against an accompanying label file where one is supplied.
What comes out the other end?+
Structured output rather than prose: clean tables and spreadsheets, dashboards, alerts, or a trained model, each with an audit trail. In the document example, every vendor, amount, date and tax field is extracted into a structured table and exported for finance review or straight into an ERP.