Controlled deployment
Each product runs within defined boundaries, from customer-controlled desktops to managed cloud services.
Request a briefingTrust-first applied AI
AI systems for work that has to be right.
Alchemy Loop builds focused AI products for operational data, documents and software delivery - designed around controlled deployment, inspectable evidence and human accountability.
The Alchemy Loop standard
Trust is part of the architecture, not a promise added later.
Each product applies the same operating discipline to a different high-consequence workflow.
Read-only by design
Database products are built to enquire, not alter systems of record.
Evidence attached
Answers and decisions retain the query, page or exact change behind them.
Human authority
AI accelerates the work; accountable people keep the final decision.
The portfolio
Purpose-built products. One control philosophy.
AI change assurance
2nd Engineer
Route consequential AI-authored software changes through independent review, exact-state evidence and an owner gate.
- Reversible Claude and OpenAI reviewer roles
- GREEN, RED-DESIGN and RED-CODE policy gates
- Evidence bound to the exact change
Operational database intelligence
AI CaseQuery
Ask business questions in plain English, run validated read-only SQL locally, and show the working behind every answer.
- Six database families
- Seven-layer read-only enforcement
- Local execution with visible SQL
Documents become structured data
AI DocQuery
Extract traceable values from recorded documents and difficult scans, with every accepted value tied back to its page.
- OCR confidence by page and region
- Quoted evidence for accepted values
- API, batch and SQL-ready outputs
Standalone AI OCR workbench
Redaction Studio
Prepare, inspect and redact document collections in a controlled desktop workflow.
- Customer-controlled desktop operation
- High-clarity, mixed-page-size viewing
- Human approval before finalisation
Managed AI redaction SaaS
Redaction Cloud
Use the Redaction Studio workflow as a secure online subscription service in a protected commercial cloud environment.
- Managed SaaS rather than software purchase
- SOC 2 Type II and HIPAA-compliant hosting
- Customer-specific governance at onboarding
2nd Engineer Monitor - concept preview
See every AI review moving through the control plane.
A manager-facing operations screen for code classification, reviewer routing, gate progress and accountable decisions. The interface below is simulated; no customer activity or code is shown.
CQ-481RED-CODEOPENAI REVIEWEVIDENCE READYDX-214RED-DESIGNCLAUDE REVIEWIN FLIGHTRS-092GREENROUTINE FLOWCLEAREDAL-337RED-CODEOWNER GATEDECISIONCQ-481RED-CODEOPENAI REVIEWEVIDENCE READYDX-214RED-DESIGNCLAUDE REVIEWIN FLIGHTRS-092GREENROUTINE FLOWCLEAREDAL-337RED-CODEOWNER GATEDECISION
Repository / changeClassificationReviewer routeGate lightsStatus
payments-apiAuth policy boundaryRED-CODEClaude → OpenAIEvidence ready
document-pipelineOCR retry strategyRED-DESIGNOpenAI → ClaudeReview in flight
customer-portalInterface copy updateGREENNo second callCleared
ledger-syncSQL migration pathRED-CODEClaude → OpenAIOwner decision
Industry solutions
One control model, applied to the work each team already owns.
CaseQuery can be configured around the vocabulary, rules and review expectations of a specific operating environment.
Default operations
Ask operational and portfolio questions across the case-management database without waiting for a custom report.
Accounting and audit
Explore practice performance and permitted client ledgers with read-only controls and calculations a reviewer can reproduce.
M&A diligence
Ask follow-up questions against a target system while preserving read-only boundaries, query evidence and a local activity record.
CaseQuery add-on
One question across systems that still have to coexist.
CaseQuery Connect adds a controlled query layer across current and legacy databases without turning Alchemy Loop into another system of record.
- One canonical business vocabulary across sources
- Identity resolved before counts or totals are combined
- Source contribution and coverage gaps remain visible
- Unsafe consolidated answers are refused rather than guessed
Current system
Legacy system A
Legacy system B
CASEQUERY CONNECTCanonical meaning
Identity and coverage
Safe execution plan
Identity and coverage
Safe execution plan
One answer
source breakdown retained
source breakdown retained
Inspectable by design
Do not take the trust story on faith. Check the evidence.
Request tracing makes transmitted context reviewable instead of leaving privacy as an invisible promise.
Database answers retain the SQL and assumptions; document values retain their page; code reviews retain the exact change.
Approval, rejection and escalation remain explicit human acts rather than silent automated repair.
Private design-partner conversations