We write and maintain pre-configured agentic skills that allow corporate operations teams to plug proprietary data sources, spreadsheets, and telemetry databases directly into secure LLM networks.
Our developers code and run these sovereign capability templates on private cloud servers, utilizing local NVIDIA NIM containers and official reference blueprints to prevent leakage of commercially sensitive assets.
Automatically monitors Pakistan Stock Exchange html feeds, scraping dividend schedules, ex-dates, and payout ratios, and structuring them into internal relational databases.
Extracts operating EBITDA, capital expense lines, and cash-flow figures from unstructured financial PDFs using NVIDIA NIM optimized Llama-3-70b containers for secure, high-speed local processing.
Intercepts prompts at the API gateway layer using a local Llama-Guard NIM container. Scrubs developer API keys, database URLs, and employee identifiers before telemetry transit.
Queries private SQL databases to retrieve geological well-log CSVs and telemetry readings, running automated stratigraphic checks to ensure compliance with concession rules.
Cross-references third-party supplier contracts and JV operating agreements using NeMo Guardrails-governed loops, flagging policy deviations and risk exposure.
Monitors shared directories for new operational updates, runs local extraction models, and posts structured alerts directly to specified corporate communication channels.
Processes high-resolution seismic charts, drilling video logs, and multi-spectral GIS maps using Google Gemini 1.5 Pro to identify stratigraphic structural anomalies.
Parses mainframe COBOL data procedures and translates them into modern, optimized PostgreSQL queries and relational database schemas using OpenAI Codex engines.
Deploys multi-step agent reasoning loops utilizing Anthropic Claude 3.5 Sonnet to resolve supply chain conflicts, scheduling cargo transfers across warehouses.
We design our private enterprise deployment structures in strict alignment with official **NVIDIA build guidelines**. This ensures our customers benefit from state-of-the-art inference speeds, optimized local memory footprints, and robust data privacy compliance.
Integrates NeMo Retriever NIMs, Triton Inference Servers, and vector indexing to parse structured lithology files and complex financial statements locally.
View RAG Blueprint →Implements query routing logic to verify input safety via Llama-Guard NIM, direct simple formatting steps to sub-7B models, and allocate complex validations to high-parameter NIM clusters.
View Router Blueprint →Applies specialized telemetry extraction models to support industrial digital twins (exploration/drilling logs) and predictive analytics for blue-chip financial scheduler assets.
View Industry Blueprints →Beyond standard local NIM configurations, Quasar writes and supports pre-built agentic workflow templates designed to integrate directly with legacy enterprise resource planning (ERP) databases, GIS mapping systems, and accounting cores:
Monitors industrial telemetry logs and SCADA sensor streams. When an anomaly is detected, this agent checks historical logs, drafts a standardized maintenance order, and dispatches it directly to field engineers.
Industry: Energy & UtilitiesConnects directly to SAP, Workday, or Oracle databases. Automatically extracts ledger actuals, compares sub-ledgers against bank records, and drafts journal entries to reconcile mismatches.
Industry: Finance & ERPIngests climate maps, geographical GIS layers, and local zoning agreements. Cross-references plot boundaries against utility grid coordinates to evaluate wind/solar development feasibility.
Industry: Energy & OperationsEnergy exploration and production (E&P) operators manage complex networks of concession leases, joint ventures (JV), and block drilling operations. When drilling telemetry and geological well-logs are generated, operations managers must verify that data aligns with the concession's specific regulatory and geographical rules. Below is an engineering demonstration of how Quasar’s local agentic skills validate exploration compliance without sending private telemetry data to public models.
Our AI Skills Lab deploys a three-stage local agent pipeline to ingest, validate, and report concession data:
The output generated is structured as a secure operational ledger page, ready for executive sign-off:
For large-scale operations checking hundreds of log records daily, local hosting delivers significant margin advantages:
| Operational Metric | Public API (SaaS) | Local Private NIM Stack (Quasar) | Strategic Impact |
|---|---|---|---|
| Data Privacy Security | Risk of leaks / Public fine-tuning | 100% Isolated on local GPU server | No compliance exposure under government data privacy acts |
| Audit Time per Log | 45 - 90 minutes (Manual review) | 38 seconds (Automated) | Operations teams clear data backlogs in real-time |
| Execution Cost per 10k runs | $640 (Dynamic token costs) | $0 (Flat infrastructure cost) | 90% reduction in long-term operational tech expenses |
| Guardrail Control | Hardcoded by SaaS vendor | Customizable NeMo policy scripts | Direct adaptation to shifting drilling regulations |
Below are actual client deployment examples illustrating how local hosting shifts recurring SaaS operation costs into amortized capital assets:
A regional group processing 120,000 invoices annually replaced SaaS API endpoints with a local L40S GPU server. Hardware costs were fully amortized in 10 months. Ongoing software licensing: $0.
An energy operator analyzing 5,000 geological well-logs per year deployed a local Llama-3-70B model to check compliance rules. Reduced manual review cycles by 90%, saving 18,000 expert hours annually.
An operations center routing 2 million ticket logs monthly migrated classification from SaaS models to private sub-7B containers. Saved $36,000/year in token fees while reducing latency to 25ms.