Insights & outcomes

Where the work has shipped.
And what it changed.

Case studies grounded in production deployments. Each one anchored to a real client problem, with measurable outcomes — not vanity metrics.

Featured · Life Sciences · Medical Affairs

Medical insights, near real-time.

A global pharma client recorded conversations and interactions with HCPs across major events, in-person interactions, and social media. Traditional analysis took a week for 10,000 records, relied on a semi-automated process, and produced overly abstract or non-actionable themes. Worse — outputs drifted across LLM runs and missed critical data gaps.

Avira reframed the problem as a multi-stage agentic flow: directional themes derived from conversation context, broad-category themes mapped from a curated taxonomy, and full lineage from each conversation back to the insight. The 95% theme match against manually-curated data unlocked real-time analytics and a closed feedback loop.

95%
match to manually-curated themes
90%
of insights fully automated
Real-time
replacing weekly cycle
Medical research and analysis
All outcomes

More from the field.

Life Sciences · Insight360°

From 12 weeks to 3 days

An agentic listening system that extracts KOL/HCP signals from social, congresses, and publications. Sentiment classification, theme detection, network mapping — running continuously where humans ran quarterly. The 3i framework (Identify, Interpret, Influence) powers continuous insight generation.

12wk → 3danalysis turnaround
2-personteam, end-to-end
90-daypilots prove value
Financial Services · Payments

A closed-loop card network, multi-cloud, PCI Level 1

Engineered a payment processing platform for high-risk and underserved merchants. Real-time clearing & settlement, AI-powered load management, multi-cloud switch architecture — scaling via direct end-customer adoption with rollout planned across additional banks.

PCI L1certified architecture
Multi-cloudswitching infrastructure
Liveexpanding to additional banks
Sports · Emerging

Decoding the fan economy in real time

A Gen-AI intelligence solution for leagues, sponsors, and digital leaders. Live fan sentiment, athlete brand monitoring, sponsorship ROI quantification — powered by Athena, delivered as four-lens decision views (sentiment, content, brand, engagement).

8+POCs running
4-lenssentiment · content · brand · engagement
Livevs. post-event analysis
Life Sciences · M360 Suite

End-to-end medical affairs platform

Modular SaaS platform built on Salesforce. Centralized data warehouse harmonizing field, CRM, and evidence systems. Supports HEOR/RWE, MSL notes, sentiment, and congress data integration. Audit-ready: SOC 2, HIPAA, GDPR, ISO certified.

3 modulesEvidence · SciComm · Insight
SOC 2HIPAA · GDPR · ISO
Biannualmajor release cycle
We do not just build agents. We help enterprises get them into the right environment, adapt them quickly after go-live, and stabilize them so they make a measurable difference in the business.
Avira’s promise
Engineering review and analysis

Lessons from the field.

Every engagement teaches us something about what enterprise AI actually looks like at production scale. Three observations, drawn from the trade-offs we’ve made on real client work — not from a thought-leadership deck.

Perspectives

Our point of view.

Three observations from delivering enterprise AI in production. None of these are abstract — they came from the trade-offs we’ve actually made on client engagements.

·
POV 01

Models aren’t the problem.

Claude and Codex environments are speeding up agent building by 10×, but the engineering work that turns a clever prompt into a stable production agent is still real. Maturity takes multiple iterations.

·
POV 02

Hyperscalers are part of the answer.

Not all of it. A delivery platform still matters for speed, control, and repeatability — but the right model evolves with the LLM landscape without forcing customers to rebuild from scratch.

·
POV 03

Governance is the proof, not the obstacle.

Guardrails, data readiness, and runtime controls are essential for enterprise trust. They’re not a bolt-on — they have to be part of the agent development lifecycle from day one.

Start your own outcome

What does good look like for you?

Tell us what you’re trying to achieve. We’ll come back with a scoped POV proposal — and the names of clients in similar shape to yours.

Talk to us → See recipes