Capture layer
Embodied devices and controlled uploads produce tamper-evident media and readings at the edge.
Chaji — Intelligent Due Diligence
Embodied intelligence delivers tamper-evident physical-world imagery and structured statistics—addressing distortion in traditional research data foundations.
Overview
Chaji — Intelligent Due Diligence
Chaji combines embodied sensing with agent workflows built for financial due diligence. Field imagery and structured readings enter your pipeline with provenance, so analysts work from evidence that can be audited—not from stale or manually re-keyed snapshots.
Capabilities
Chaji — Intelligent Due Diligence
Tamper-evident capture of physical-world imagery tied to time, location, and task context.
Structured statistics exported for models, dashboards, and compliance packs.
Agent-assisted synthesis across filings, site visits, and third-party sources with citation trails.
Human-in-the-loop gates for material judgments before reports are issued.
Architecture
Field evidence to signed output
Knowledge and policy layer
Regulatory text, internal policy, and precedents are indexed for grounded retrieval.
Agent orchestration
Specialized agents extract, cross-check, and draft; humans approve material judgments.
Integrations
Works with your research stack
Document and data rooms
Ingest filings, contracts, and third-party packs with lineage preserved.
CRM and deal systems
Push structured findings and open questions back to deal records.
Compliance archives
Export audit bundles with chunk IDs, agent steps, and approver actions.
Private deployment
Air-gapped or VPC deployment with customer-managed keys.
Why teams choose this
Built for regulated diligence
Provenance by design
Every asset is bound to task, time, and place before it enters models or reports.
Agent + human gates
Agents prepare; people approve material calls—full trace for audit.
Fits existing stacks
Export to research warehouses, CRM, and document systems you already run.
Use cases
Where teams deploy Chaji
On-site verification
Replace ad-hoc photo folders with governed capture workflows that feed directly into diligence memos.
Research data foundations
Reduce distortion in bottom-up inputs used by equity research and risk teams.
Outcomes (pilot benchmarks)
What pilots typically show
40%+
Cycle-time reduction
On repetitive verification tasks in scoped diligence workstreams.
100%
Source binding
Material claims in drafts tied to retrieved evidence or field capture.
Days
POC window
First measurable signals on a real deal subset within 2–4 weeks.
Illustrative figures from representative pilots. Customer metrics remain confidential and can be shared under NDA.
How we deliver
From discovery to production
Discovery
Map data sources, field workflows, and compliance gates in 1–2 working sessions.
POC
Run on a real deal subset with quantified accuracy and cycle-time signals.
Rollout
Private deployment, role-based access, and observability for every agent step.
Ready to run this in production?
Start with a scoped discovery session. We align data, compliance, and measurable outcomes before rollout.