We built AtlasAI. We'll build yours.
We started in legal because the bar was highest: client data isolation, citation correctness and agentic workflows that don't hallucinate. The same engineers now partner with operations, finance, compliance, clinical and revenue teams to build private AI for the work that actually moves your business.
Most organizations know they need AI. Few know where to begin or how to turn potential into measurable impact.
AtlasAI started as a private, citation-grounded AI platform for the world's most demanding legal teams. To make it work, we solved the hard problems most vendors wave away: client data isolation, retrieval that finds the right page, agents that follow real workflows and auditable answers.
Those problems aren't unique to law. The same problems appear in every regulated, knowledge-heavy domain: clinical operations, financial reporting, claims, procurement, compliance and deal desks. We made a decision: the same team that built AtlasAI will build yours.
Production AI systems, not pilots that die in a slide deck.
Every engagement ships real software your team uses. We bring the platform stack we battle-tested at AtlasAI. You get the engineering team, the architecture and the muscle to move from prototype to production without buying anything twice.
Private RAG and search
Layout-aware document parsing, hybrid BM25 and vector retrieval, defined-terms expansion and citation-narrowed answers. The retrieval stack behind the AtlasAI legal product, retargeted at your documents.
Agentic workflows
Multi-step planners with placeholder resolution, defensive backfill and tool use that actually follows your SOP. Built to not hallucinate in the middle of a five-step process.
Knowledge graphs
Entity and relationship extraction over your documents and structured systems: a grounding layer that lets generative models answer questions instead of guessing.
Tabular and spreadsheet AI
Cell-level reasoning across hundreds of documents, custom column extraction and pivot review templates. The same Tabular Review engine we ship to law firms, applied to your data rooms and dashboards.
Custom LLM integration
Multi-provider routing across OpenAI, Anthropic, Azure and open-weight models. Cost attribution, evaluation harnesses and a single facade, so swapping models is a configuration change instead of a rewrite.
Client isolation and compliance
A separate database for each client, scoped vector collections, SAML and magic-link sign-in, and audit trails. Built to clear procurement at firms and enterprises that say “we can't send our data anywhere.”
Document drafting and redlining
Word, Google Docs and web-native drafting tools backed by your playbooks. Tracked changes, change summaries and source-linked rationale, so you see why a change was made, not just what changed.
Cloud and edge deployment
Vercel, Azure Container Apps, AWS, on-premises or hybrid. Cloudflare-fronted ingress, infrastructure as code and CI/CD: deployment patterns we run in production, not slideware.
Change enablement and training
Your AI is only as useful as the team that adopts it. We pair the build with role-based training, internal playbooks and rollout plans, so the system gets used after we leave.
Wherever accuracy, audit trails and domain depth matter.
If your team works inside dense, regulated, knowledge-heavy material, we've probably already solved the hardest problems somewhere else.
Process and SOP automation
Procurement, vendor onboarding, internal request triage and runbook execution: agentic workflows that follow your actual operating procedure.
Reporting and analyst copilot
Variance commentary, cell-level spreadsheet AI, deal-desk diligence and board-pack drafting grounded in your ledger and warehouse.
Policy, audit and controls
Policy mapping, control evidence collection and regulatory change tracking, with citation-grounded answers for auditors and regulators.
Documentation and coding
Note generation, coding assist, clinical-trial document review and payer-policy lookup, in PHI-safe deployments inside your environment.
Proposals, pricing and CPQ
Deal-room AI, proposal drafting from past wins, redlining incoming MSAs and sales-engineering knowledge bases that actually stay current.
Procurement and policy
RFP analysis, policy synthesis, FOIA response support and constituent-facing assistants, deployed inside your boundary.
A four-phase framework, designed to ship.
Founded to bring AI out of the lab and into production-ready workflows, we partner with companies from startups to Fortune 500s. The framework is the same at every size, and the depth changes.
Understand
Discovery workshops, stakeholder interviews and a hands-on review of your data, systems and workflows. We map the current state and find the opportunities with the most value.
Strategize
A roadmap with sequenced milestones, target architecture, evaluation criteria and the integration plan for your existing stack. You leave with a build plan you could hand to anyone.
Execute
From prototype to MVP to production deployment, with CI/CD, modern APIs and secure data-platform patterns. We ship working software your team uses, not artifacts.
Optimize
After launch, we monitor performance, iterate models, refine prompts and tools, build governance and harden the runbook. Your AI keeps delivering value as your business changes.
Questions teams ask
Which AtlasAI capabilities do you adapt?
We adapt tabular review, drafting and redlining in Word and on the web with your playbooks, model integration, and role-based training and rollout plans.
Where do you deploy?
We deploy on Azure, AWS, Vercel, on premises or in a hybrid environment.