Engineering delivery
Build zonePlan, build, validate and ship software, data, ML and deployment work with delivery evidence.
Our AI platform provides shared infrastructure and oversight for Astira AI Cortex. Custom small language models and specialized AI modules are built on this foundation, adapted to each business and deployed across the portfolio.
Plan, build, validate and ship software, data, ML and deployment work with delivery evidence.
Discover, onboard, supervise and improve role-specific agents with execution boundaries.
Source-grounded research with evidence, citations and reusable libraries, for diligence and strategy.
Cross-system workflows with AI actions, approvals, queues and human exception handling.
Design, test and publish AI apps around real inputs, outputs, users and review gates.
Observability, audit trails, cost awareness, reliability and adoption management after go-live.
Build · Govern · Operate · Scale: the path from prototype to governed, portfolio-wide rollout · Source: Astira AI Cortex Studio
Governed from the start. The Model Registry is live: every specialist model’s corpus, latency, health and feedback loop on one page. An Eval & Guardrail Console, with test sets each model must pass before it ships, is planned next.
One model per domain, all running on-prem: answers with citations back to the source, and nothing leaves the building. Each model powers the modules built on it.
The deal team's private model: sector theses, diligence archives, IC memos and market notes, answered with citations back to the page.
PowersClose packages, receivables, cash forecasts, covenants, policies and budgets, answered with citations back to the page.
PowersWhat happened on sales calls: objections, next steps, lost deals and coaching, answered from the transcripts with citations back to the call.
Contracts, invoices, tariffs and audit rules: finds billing errors as a batch pipeline, with a chat for the exceptions.
Will powerSource: Astira AI Cortex
How our deal team sources, scores and diligences, AI-first.
Deal origination engine: investment themes, a target board with three human gates, hook-driven research, voice-calibrated outreach drafting and reply tracking.
cortex-deal·slmTechnology and AI diligence tools: capability assessment across eight dimensions, AI-assisted data room review, interview tools, a roadmap quantifying capability gaps, and exportable reports.
cortex-deal·slmData-room ingestion, contract analysis and red-flag detection for the deal team.
cortex-deal·slmInside each company: the repeatable work moves to AI, and experts keep the judgment.
Freight audit operating system: contract intelligence, invoice extraction with human review, rate variance, duplicate detection, claims and recovery, and a copilot grounded in the audit record.
Invoice, contract and financial document extraction, with validation and human review.
Real-time forecasting and anomaly detection for CFOs.
cortex-fin·slmReceivables agent: prioritization, outreach drafting and promise-to-pay tracking across the order-to-cash cycle.
Sales and service conversations, handled and coached by AI, fully on-prem.
Every sales and service call transcribed, scored and coached on-prem: talk-to-listen, objections, next-step capture and manager review, plus a practice line where reps rehearse against an AI customer.
Answers a dealership's main line, routes each caller to sales or service, and books test drives and service visits, connected to live inventory, the customer record and the service diary. Fully local, with no cloud inference.
A live video call with a photoreal agent for a dealership's sales and service lines: real-time lip-sync rendered on-prem, connected to inventory, customer records and the service diary. Fully local, with no cloud inference.
AI capabilities become part of the products and services delivered to customers.
Client-facing freight spend intelligence: audit outcomes, carrier behavior, contract terms, paid-rate benchmarks, payment behavior and mode mix, every number traced to the bills and agreements.
Conversation and pipeline intelligence, quota science.
Personalization, ABM orchestration, retention.
Ask for a live demo of the platform, the models and the modules.