Custom agents that automate your reporting and run your warehouse strategy.
We design and build custom AI agents for one domain: pharma data. They automate the reporting, warehousing, and analytics work we have engineered for life-science teams since 2016. That single focus is what makes AI genuinely useful here: the agents sit on data foundations we built, governed the way regulated teams require.
Agentic AI, built for pharma, not bolted on
AI is moving fast, and most platforms are generic. We're not. D2Strategy builds AI agents specifically for life-science commercial, medical, and operations teams, and deploys them inside your governed environment, on top of the data we already engineer for you.
Behind the consulting is a production agent platform: model-agnostic (Claude, GPT, Gemini, Llama and more), retrieval-augmented over your approved knowledge, orchestrated for multi-step work, and reachable on web, voice, SMS, email, and Teams, with human oversight on every agent.
What we build
Production-grade AI, model-agnostic, governed, and deployed inside your environment.
Model-agnostic by design
We match the right model to each task: Claude, GPT, Gemini, Llama, Mistral and more, through one gateway, so you're never locked in.
Grounded in your knowledge
Agents answer from your approved, governed content: labels, SOPs, medical and study documents, with citations, not guesswork.
Multi-agent orchestration
Multi-step workflows across your systems and teams, automated end-to-end, with the right hand-offs back to people.
Omnichannel
Reach users where they are: web chat, real-time voice and telephony, SMS, WhatsApp, email, and Microsoft Teams.
Human-in-the-loop
Approval gates for MLR, medical, and regulatory sign-off. Nothing goes out the door without the controls you require.
Deployed in your environment
Isolated, HIPAA-aligned deployments with audit trails and data-retention controls, including local-first for sensitive data.
Five capabilities, one governed foundation
Everything below ships as part of AI Consulting, applied to the warehouses, reporting, and data quality work D2Strategy already runs for pharma.
AI-Ready Data Warehouses
We engineer lakehouse foundations that agents and RAG can actually use, governed, vectorized, lineage-tracked data with clean interfaces.
- Dimensional + vector modeling in one platform
- Lineage, access contracts & row-level security
- AI-readiness assessment of your current warehouse
RAG-as-a-Service
Governed knowledge assistants grounded in your approved content, answers with citations, guardrails, and MLR-compatible review built in.
- Approved-content pipelines & chunking strategy
- Citation-first answers with confidence flags
- Retrieval evals tuned to your corpus
Automated BI Development
Dashboards generated with an MCP server and GitHub Copilot, validated by human review, Power BI first, with the same rigor across Tableau, Qlik, and MicroStrategy.
- Semantic-model standards enforced in code
- Auto-generated visuals, human-validated
- Faster change cycles on existing reports
AI Agent Engineering
Human-in-the-loop agents for regulated data workflows, orchestration, tool use, and audit trails that keep people in control.
- Multi-step orchestration across your systems
- Approval gates for regulated steps
- Full audit trails & explainability
AI Enablement & LLMOps
The governance layer that makes GenAI production-grade: evals, guardrails, observability, and drift monitoring gating every release.
- Eval suites tied to your quality bar
- Guardrails & policy enforcement
- Drift, cost & usage observability
The models we build with
Every agent we build routes through one model gateway. We pick the right model per task, reasoning, drafting, extraction, embeddings, or image work, and swap models without re-architecting anything you own. For PHI and other sensitive workloads we deploy open-weight models inside your own environment, so regulated data never leaves your tenant.
Frontier reasoning models
Current frontier models, selected per task and deployment constraints
Claude Opus
Long-document analysis and drafting where safety alignment matters most
Gemini
Multimodal extraction and very-large-context document processing
Llama 4 Maverick
Open weights we host inside your VPC for sensitive workloads
Mistral
Efficient open models for high-volume extraction and classification
Gemma
Lightweight local inference where data cannot leave the site
GPT-OSS
Open-weight OpenAI models, self-hosted for data-sovereign deployments
Embeddings & specialists
Dedicated models for search, vectorization, OCR, and eval scoring
Open-weight models can run inside your environment, so sensitive data never leaves. New models are added to the gateway as they ship.
AI agents, purpose-built for pharma
We design, build, validate, and run AI agents for the work your commercial, medical, and operations teams actually do, never generic, always life-science-specific.
Medical Information agent
Answer HCP and patient inquiries from approved label and medical content across web, voice, and SMS, with instant escalation to your medical-information specialists.
Pharmacovigilance intake & triage
Capture potential adverse events and product complaints from any channel, structure them, flag seriousness, and route to your safety team.
Field-medical (MSL) copilot
Give MSLs natural-language access to publications, clinical data, and prior interactions, answers grounded in your internal knowledge.
Market access & payer-policy agent
Monitor formulary, coverage, and policy changes and summarize the access landscape for brand and market-access teams.
MLR-aware content drafting
Draft compliant omnichannel and scientific content with guardrails, then route it straight into your MLR review workflow.
Commercial & sales analytics copilot
Conversational access to your CRM and sales dashboards, ask in plain English, get governed answers and proactive alerts.
RWE & clinical-data querying
Ask your study, real-world-evidence, and warehouse data questions in plain language: governed access, no SQL required.
Congress, KOL & competitive intel
Continuously scan congress abstracts, literature, and competitor moves into a curated, queryable knowledge library.
Patient-program & hub support
Multilingual patient support, enrollment and copay Q&A, and adherence reminders over voice, SMS, and WhatsApp, with PHI handled appropriately.
AI across your data activities
The same large-language-model foundations, applied to the analytics work D2Strategy already runs for you.
Natural Language Querying
Plain-language answers to your data questions, the LLM foundation that lets any user query the warehouse without writing SQL.
Predictive Analytics
Analyze vast amounts of data to surface actionable predictions your teams can use to make commercial decisions.
AI-driven Process Automation
Automate reporting, data cleansing, anomaly detection, and document processing, freeing analysts for value-added work.
From use case to production, in weeks, not quarters
A consulting engagement, not a black box. You keep ownership of your data, your models, and your agents.
1. Discovery & scoping
We map the workflow, the data, and the compliance constraints, and tell you honestly where AI helps and where it doesn't.
2. Data & knowledge readiness
We connect to your governed data and curate the approved knowledge each agent will rely on.
3. Build & validate
We build the agent, wire in human review gates, and validate behavior against your quality and regulatory bar.
4. Deploy & manage
We launch inside your environment and monitor, tune, and report, you keep ownership throughout.
Enterprise-grade and compliance-aware by default
We own the data layer and the AI layer
Life sciences, exclusively
We don't dabble across industries. D2Strategy works only with pharma and life-science clients, your context is our default.
We own the data and AI layers
A decade running pharma BI and data warehousing means your agents sit on data that's actually ready to use.
Enterprise-grade, never bloated
Small and agile, with a 100+ platform-certified expert bench and a build-validate-manage model. A focused pilot can often be scoped and validated in a matter of weeks, depending on data access, review requirements, and deployment constraints.
Ready to put AI agents to work in life sciences?
Tell us the workflow you want to move. A focused pilot can often be scoped and validated in a matter of weeks, depending on data access, review requirements, and deployment constraints.