AI & Agent Systems
Design and build intelligent systems that can reason, use tools, interact with APIs, and operate within defined constraints.
AI agents · Agent orchestration · MCP · Tool use · RAG · LLM applications · Multi-agent systems
Archisys Technologies · Est. 2013
Building the infrastructure for intelligent software.
Archisys Technologies builds AI-native products and intelligent systems for a world where software can reason, act, and operate autonomously.
Intelligent software stack
INTELLIGENCE
VERIFICATION
GOVERNANCE
EXECUTION
TseloraSEC ResearchAI / MLAI AgentsAgent GovernanceEnterprise SystemsCloud ArchitectureData PlatformsDeveloper InfrastructureFinancial Technology
From intelligent systems to production software.
Enterprise AI
Modernize complex enterprise workflows using AI, data, automation, and cloud-native architectures.
Workflow automation · Enterprise search · Knowledge systems · CRM / data platforms · AI copilots · Intelligent document processing
AI Governance & Verification
Build systems that make AI behavior measurable, auditable, and controllable.
Decision audit trails · Probabilistic verification · Policy enforcement · Agent reliability · Human-in-the-loop controls · Execution governance
Product Engineering
Turn complex technical ideas into production-ready products.
SaaS · APIs · Cloud infrastructure · Mobile / web applications · Developer platforms · Data systems
Featured products
Technology we are building.
Archisys develops AI-native infrastructure and products across evidence, execution intelligence, verification, governance, and autonomous execution — including Tselora, SEC Research, Sigmodx, and EmbiPay.
OPEN-SOURCE EXECUTION INTELLIGENCE
Tselora
Execution Intelligence for AI Agents
Tselora is an open-source execution intelligence layer that reconstructs AI-agent executions into a deterministic execution model—so teams can understand, reproduce, compare, and learn from agent behavior across runs.
EVENTS → EXECUTION MODEL → EXPERIENCE / COMPARE / LEARN
- Observe execution topology
- Structured decisions
- Cooperative control
- Execution Experiences
- Reproduction lineage
- Deterministic comparison
- Exact-structure retrieval
- Open source
EVIDENCE INFRASTRUCTURE
SEC Research
Evidence-first SEC research for AI assistants and agents.
SEC Research is an evidence-first SEC research engine for AI assistants and agents. It retrieves official SEC filings and financial data, identifies relevant filing sections, extracts and ranks evidence, and returns source-attributed results for downstream AI reasoning.
SEC EDGAR → SECTION / EVIDENCE → AI CLIENT
- Deterministic evidence ranking
- Section-aware retrieval
- Company identification
- Filing search
- Company facts
- Financial history
- Comparable company evidence
- Filing research
- MCP infrastructure
- Source attribution
AI Verification Infrastructure
Sigmodx
Audit infrastructure for AI agents.
Sigmodx provides infrastructure for making AI-agent decisions auditable, measurable, and independently verifiable.
AI AGENT → DECISION → ATTESTATION → VERIFICATION
- AI decision audit trails
- Probabilistic verification
- Brier-score based evaluation
- Reliability measurement
- Cryptographic integrity
- Public verification
- Agent governance
Economic Control Plane for Autonomous AI
EmbiPay
Economic control for autonomous AI agents.
EmbiPay gives AI-agent fleets programmable economic authority — with capital limits, human escalation, fleet governance, and complete auditability.
HUMAN
↓
FLEET AUTHORITY
↓
AGENT WALLETenforced boundary
↓
ACTION
↓
FLEET AUTHORITY
↓
AGENT WALLETenforced boundary
↓
ACTION
- Fleet-level capital limits
- Agent wallets
- Economic authority
- Human approval
- Pause / freeze controls
- Audit trails
- MCP integration
- Stripe Connect integration
Find a page by problem
Need infrastructure so AI agents and intelligent software can operate with evidence, verification, governance, and execution control
Home
Need to choose Archisys products by the job they do, not only by product name
Products
Traces answer what happened in one AI-agent run, but not execution structure, structured decisions, lineage, comparable runs, or same-structure history
Tselora
Need an open-source execution intelligence layer that works alongside agent frameworks and OpenTelemetry rather than replacing them
Tselora
AI assistants and agents need official SEC filings and financial facts as source-attributed evidence, without an LLM inside the research engine
SEC Research
Need a hosted MCP service for SEC EDGAR research: company identity, filings, facts, history, comparables, and ranked filing snippets
SEC Research
AI-agent decisions need to be auditable, measurable, and independently verifiable
Sigmodx
Autonomous AI agents need economic limits, wallets, human escalation, and auditability
EmbiPay
Need engineering across AI agents, MCP, cloud, data platforms, and production applications
Technology
Need a technology partner founded in 2013 that builds AI-native products and enterprise systems
About
Have a difficult AI, enterprise, data, or software engineering problem and need to talk to Archisys
Contact
Need help with Tselora, SEC Research, Sigmodx, EmbiPay, an integration, or a product question
Support
Need to know how Archisys handles personal and usage information
Privacy Policy
Need terms of use for Archisys websites, products, APIs, and SEC Research public-data tools
Terms of Service
Product ecosystem
Toward accountable autonomous systems.
EVIDENCE
SEC Research
INTELLIGENCE
Tselora / AI agents
VERIFICATION
Sigmodx
GOVERNANCE
Policies / limits / humans
EXECUTION
EmbiPay
From authoritative evidence (SEC Research) to execution intelligence (Tselora), verification (Sigmodx), governance, and economic execution (EmbiPay), Archisys is building infrastructure for software that can reason and act responsibly.
Systems should be intelligent. They should also be accountable.
Build
We turn complex ideas into production-grade software.
Verify
AI systems should be evaluated against outcomes, not assumptions.
Govern
Autonomous systems need explicit boundaries, observability, and human control.
Selected work
From enterprise systems to AI-native products.
Enterprise AI & Knowledge Systems
Work spanning large document repositories, semantic search, retrieval-augmented generation, cloud AI, and operational enterprise workflows.
AI Agent Infrastructure
Systems involving agent orchestration, MCP, observability, evaluation, verification, and governance for production agents.
Financial Technology
AI-agent systems involving decision intelligence, risk controls, financial workflows, and programmable economic authority.
Have a difficult technology problem?
Tell us what you're building. We work with teams tackling complex AI, enterprise, data, and software engineering challenges.