Syntheka is the open, governed alternative to Palantir: enterprise AI agents grounded in your business ontology, where every action is proposed, approved, audited, and reversible.
Chatbots bolted onto documents don't know your objects, your rules, or your SAP transactions. Syntheka models your business as a typed ontology of objects, links, and actions, so agents reason over the same truth your systems run on.
An agent that writes to production without oversight is a liability. Syntheka wraps every write-side action in a governance loop: staged proposals, multi-node approval workflows, segregation of duties, and a bi-temporal audit trail that can replay any decision.
Six areas of the enterprise where agents act on systems of record today. Each card is a working pattern, not a mockup.
Have a requirement that matches none of these cards? Run the fit check →
Subcontractor insurance certificates verified, tracked, and payment-gated. No expired COI ever reaches a payment run.
See the playbook →Settlement reconciliation surfaces mis-collected fees and duplicate charges: recoveries staged, approved, and tracked.
See the playbook →Payment runs, journal entries, and vendor master changes staged by agents, approved by humans, confirmed by SAP's own events.
See the integration →Three-way PO / receipt / invoice matching run by agents: exceptions escalate to an approval queue, matches post themselves.
Customs, freight, and delivery paperwork reconciled across partners; discrepancies open staged corrections, never silent overwrites.
Agent-proposed changes carry risk context and rollbacks; CAB approval is a workflow, not a meeting attachment.
Every agent reply that touches an account, a refund, or a contract is checked against policy before it ships. Air Canada's case, closed.
Six stages, one platform: every stage reads and writes the same ontology and the same audit trail. Eighteen modules ship in a single repository, so deployment is one command, not an integration project.
Objects, links, actions with bi-temporal versioning. Additive evolution: extend the model without migrations.
Agent studio and workshops publish via MCP and signed A2A. Memory carries provenance on columnar storage.
Staged proposals, multi-node approval DAG, segregation of duties: batch decisions and delegation for scale.
Governed runs over OData, IDoc, BAPI, events, and CDC; authoritative events confirm every write.
Append-only bi-temporal trail with correlation IDs. Causal-chain queries and funnel views built in.
Evals, an evolution flywheel, and template packs, all inside your deployment, all reading the same ontology.
Publicly reported agent failures; none are Syntheka customers. Each is a control gap Syntheka closes by design.
A tribunal ordered the airline to honor a bereavement policy its chatbot fabricated. The "the chatbot is a separate legal entity" defense was rejected.
The coding agent ignored an explicit freeze directive, wiped live data for 1,200+ executives and companies, then misreported what it had done.
Three separate leaks of semiconductor source code and meeting notes into a public LLM. Once in the training pipeline, the data could not be pulled back; the company banned generative AI outright.
An AI coding tool dropped a rental software provider's production database mid-task. The business ran 30 hours without its core systems.
Sources are public reporting, cited for reference, not affiliation or endorsement.
Where other platforms print "human operators review outputs" as a slogan, Syntheka ships it as a mechanism: three frames you can verify in your own deployment.
AI agents produce staged proposals against typed actions, carrying full context: which objects, which fields, which rule set.
Multi-node approval workflows with segregation of duties; initiators cannot approve their own proposals.
Every decision lands in an append-only audit trail with correlation IDs, queryable by causation chain, so you can always answer the three audit questions: who authorized this action, what data did the agent access, and what reasoning led to it.
Your data never needs to leave your perimeter. Start self-hosted today; a managed cloud option is on the roadmap.
Docker Compose bootstrap: the full eighteen-module stack on a single machine or your own Kubernetes.
./scripts/bootstrap.shEarly-access deployments land in your VPC with our team. Single-tenant by design; your data stays in your instance.
Talk to usMulti-tenant managed cloud opens after our early-access program, not before. We won't ship it half-governed.
Join the waitlistDescribe your requirement in plain words. An automated assessor scores it against the three marks (recurring, rule-bound, stable) and gives a verdict in under a minute. An initial assessment, not a delivery commitment. Three free checks per account.
Transparent tiers during early access. Enterprise AI platforms average five figures per month per customer; we think the governed layer should be priced for the teams doing the building. Prefer a fixed-scope start? A $1,500 pilot (first project, 60 days) is open to the first three customers.
Tell us where you'd use governed agents; we reply personally, usually the same day. No mailing list without your consent.
Syntheka is an open, self-hostable enterprise AI agent platform that grounds agents in a typed business ontology and wraps every write-side action in an approval-and-audit governance loop, a governable alternative to Palantir Foundry/AIP.
Dify and n8n are excellent horizontal agent/workflow builders; their governance story starts and ends at logs. Syntheka is vertical by design: typed ontology modeling, multi-node approval DAGs with segregation of duties, bi-temporal audit, and SAP-grade reconciliation. Use them to prototype flows; use Syntheka when an agent must safely touch systems of record.
Same architectural DNA (ontology-first, decision-centric), but open and self-hostable, priced for SMBs and platform teams, with your data never leaving your perimeter. Palantir contracts start where most mid-market budgets end; Syntheka is the layer mid-market budgets can reach.
Yes: connectors for OData, IDoc, BAPI, events, and CDC, with idempotent retries, dead-letter queues, and three-way reconciliation. Syntheka never claims a write succeeded until SAP's authoritative event says so.
Yes. The full stack bootstraps on a single machine via Docker Compose and runs without external services. Model access is pluggable, so on-prem or private endpoints work.
No. Syntheka does not train foundation models and does not send your data to third parties for training. Model access is pluggable (bring your own endpoints), and memory, provenance, and audit trails stay inside your deployment.
In your perimeter. Syntheka runs in your environment; SAP credentials and business data stay inside your instance. And no write is claimed until SAP’s authoritative event confirms it. With self-hosting, data sovereignty is an architectural property, not a contract clause.
Near term: English documentation site, open-source license finalization, template packs, managed SaaS after the early-access program. This page's "last updated" date is maintained with each release.
Get the bootcamp kit: a working session from zero to a governed agent workflow, on your own machine.