SpadEx PALM - Secure Document Understanding AMI for VPCs
SpadEx Inc · Finance & Accounting
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
## Pluggable Agentic Last Mile (PALM) by SpadEx
PALM is a self-contained Amazon Machine Image (AMI) that processes complex document understanding workloads entirely within your Amazon Virtual Private Cloud (VPC). Private documents and sensitive corporate data never leave your controlled cloud environment, giving compliance and security teams confidence that data sovereignty requirements are met by architecture - not just policy.
Show the rest of the publisher’s description (16 more lines)
## Secure Multi-Agent Orchestration
At the core of PALM is an advanced three-LLM pipeline that intelligently splits orchestration and local inference to maximize accuracy.
- **Pre-computed reasoning paths** - Public instructions or shareable templates can be analyzed by external cloud LLMs to generate reasoning and code ahead of time. You can also paste pre-existing reasoning blocks directly into the pipeline, skipping cloud-side LLM calls entirely for zero external API cost on repeat workloads.
- **Local agent dispatch** - PALM disassembles complex analysis instructions into structured execution plans and dispatches them to dynamically generated local agents running within the AMI.
- **Native fallback mode** - If external code generation configuration is omitted, PALM runs direct step-by-step local model calls, keeping workflows fully operational without any external model dependencies.
## Self-Healing Extractions
PALM includes a built-in quality assurance loop that classifies extraction failures and routes them to the appropriate fix. Format or syntax errors trigger a lightweight reformat sub-agent that corrects constraints without re-scanning the document image.
## Tokenomics and Cost Optimization
PALM is engineered to reduce cloud token expenses through multiple mechanisms:
- Pre-computed reasoning paths allow repeat workloads to bypass external API calls entirely.
- Local inference handles private document content without per-token charges from external providers.
- The self-healing retry loop avoids costly full-document re-processing by isolating and fixing only the failed extraction step.
## Getting Started
PALM is delivered as a single AMI that you launch within your VPC. To begin evaluating PALM for your document workloads, subscribe through AWS Marketplace and launch the AMI in your target VPC. Contact SpadEx at support@spadexinc.com to schedule a guided architecture walkthrough or request assistance with your initial deployment configuration.
## Next Steps
To discuss a pilot deployment, book a discovery call with the SpadEx team by emailing support@spadexinc.com with your use case details and target document types.
Highlights
Highlighted by the publisher on AWS Marketplace.
Complete data sovereignty by design: Every private document understanding step runs within your Amazon VPC. Private documents and sensitive corporate data never leave your controlled cloud environment. PALM's design ensures data sovereignty through infrastructure isolation rather than policy alone, making it suitable for regulated industries and workloads where strict data-handling requirements apply.
Token Cost Optimization: PALM's pre-computed reasoning paths let you insert previously generated reasoning blocks directly into the pipeline, bypassing cloud-side LLM orchestration calls entirely. For new workloads, local inference handles all private document content within the AMI, and a native fallback mode ensures full operation even without external code generation - reducing unpredictable token expenses.
PALM's three-LLM pipeline enhances local model capabilities with context you provide about your document structure and enhances extraction accuracy.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Plans and pricing as listed
40 listed- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
Refund terms
As stated by the publisher on AWS Marketplace.
Refunds are not available at this time for the paid hourly PALM AMI. You may stop instances using the AMI at anytime to avoid additional charges. Exception: if you are unable to use the AMI due to an outage in the PALM Server you can request a refund for the time when the server was unavailable. Contact support@spadexinc.com with: 1. Account ID and region, 2. Instance ID, 3. Instance launch times, 4. A brief description of the issue. We will process your request within 5 U.S. business days.
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.