AI-Orchestrated Work Infrastructure

Work, decomposed
and distributed
at machine scale.

Mokshagna Technologies powers the infrastructure layer between enterprise workloads and a global network of independent service providers — mediated entirely by AI.

0+
Active Service Providers
0%
Test Pass Rate
0h
Avg. Task Completion Time
AI Workflow Engine
Micro-Task Orchestration
Automated QA Pipelines
Distributed Service Networks
Outcome-Based Payments
Enterprise-Grade SLAs
Real-Time Task Routing
Intelligent Provider Matching
AI Workflow Engine
Micro-Task Orchestration
Automated QA Pipelines
Distributed Service Networks
Outcome-Based Payments
Enterprise-Grade SLAs
Real-Time Task Routing
Intelligent Provider Matching
The Process

From client brief to completed work — fully automated.

01 / INGEST
Client Project Intake
Enterprises submit complex projects through our API or portal. Any domain, any scale — from content pipelines to data operations to software QA.
02 / DECOMPOSE
AI Workflow Decomposition
Our proprietary AI engine breaks complex projects into structured micro-tasks, each with defined inputs, outputs, and acceptance criteria.
03 / FULFILL
Distributed Fulfillment
Tasks are intelligently routed to the optimal provider from our vetted global network — matched on skill, availability, track record, and cost.
04 / VALIDATE & PAY
Test, Verify, Release
Completed tasks run against automated test suites. Payment is released to providers only on verified pass — creating a fully outcome-driven economy.
Platform Architecture

Intelligence at every layer of the stack.

Core Engine
Adaptive Task Decomposition
Our AI models are trained on thousands of project archetypes, enabling accurate decomposition with minimal ambiguity — even for novel or cross-domain workloads.
Routing Layer
Provider Intelligence Graph
A continuously updated knowledge graph of provider capabilities, historical performance, domain expertise, and pricing — enabling sub-second optimal routing.
Quality Layer
Automated Test Execution
Every task type has a corresponding test harness. Results are machine-verified before human review triggers — massively compressing QA cycles.
Payment Layer
Outcome-Gated Settlement
Provider compensation is fully conditional on verified outcomes. Escrow, milestones, and real-time settlement are handled natively on-platform.
Live Platform Activity
AI Decomposition Engine
task_engine.v3 / 847 tasks/min
Active
Provider Routing Layer
120,000+ providers online
Active
Test Execution Cluster
4,203 tasks in validation
Running
Settlement Engine
₹ 2.3Cr settled today
Processing
Quality Assurance Gate
99.4% pass rate (rolling 30d)
Healthy
Client API Gateway
14ms avg. response / 99.97% uptime
Operational
Operating at Scale
8,000+
Projects Successfully Completed
120K+
Independent Service Providers
Vetted specialists across 40+ countries, spanning technical, creative, analytical, and operational domains.
4.2M
Micro-Tasks Completed
Every task logged, tested, and archived — a proprietary dataset that continuously improves routing and decomposition models.
99.4%
Validated Pass Rate
Machine-verified quality at every step. Clients receive only work that has passed automated acceptance criteria.
Who We Serve

Built for both sides of the network.

01
Enterprise Clients
Organizations with recurring, high-volume workloads that benefit from AI-orchestrated decomposition, parallel execution, and outcome-verified delivery.
  • Eliminate project management overhead on repetitive workloads
  • Scale output without scaling headcount
  • Pay only for verified, passing deliverables
  • Full audit trail, SLA guarantees, and API-first integration
  • Dedicated client success and workflow architecture support
02
Independent Service Providers
Skilled individuals and micro-teams who want a reliable, high-volume pipeline of well-scoped work — with transparent payment terms and no sales overhead.
  • Well-defined micro-tasks with clear acceptance criteria
  • Consistent work pipeline matched to your expertise
  • Outcome-gated payments — no invoice chasing
  • Build reputation through test pass rates, not reviews
  • Access to higher-value tasks as performance track record grows
Core Technology

The infrastructure beneath the future of work.

Core
Project Decomposition Model
Fine-tuned LLMs trained on structured project ontologies to accurately parse ambiguous briefs into atomized, executable micro-tasks with machine-readable specifications.
Routing
Provider Knowledge Graph
A live graph database of provider capabilities, domain tags, performance vectors, and pricing signals — updated continuously from task outcomes to enable optimal matching.
QA
Automated Test Harnesses
Domain-specific test suites that validate deliverables programmatically. Configurable acceptance thresholds. Machine-generated test cases for novel task types.
Payments
Outcome-Gated Settlement
Escrow-based payment infrastructure with real-time settlement triggers on test pass events. Multi-currency, multi-rail support for global provider payouts.
Observability
Real-Time Workflow Monitoring
Full observability across every task in flight — latency, pass rates, provider utilization, cost-per-outcome, and SLA tracking surfaced in a unified client dashboard.
Security
Enterprise-Grade Compliance
SOC 2 Type II ready. Data residency controls, role-based access, full audit logs, and contractual confidentiality guarantees for every task and deliverable.
"

The old model had enterprises paying for effort. We built the infrastructure for paying for outcomes. AI orchestration is what makes that economically viable at scale.

Leadership, Mokshagna Technologies
Get Started

Ready to run your work at machine scale?

Talk to our enterprise team or request access to the provider network. Infrastructure built for the next decade of work.