INDUSTRIES

Eight verticals. Each built around measurable business outcomes.

We're horizontal by design. The list below is where we've delivered, not where we're limited. Every engagement starts with the workflow, not the vertical.

ENTERPRISE HR

Hiring intelligence and candidate evaluation.

Resume layers full of look-alike credentials. Coding tests gamed by tools that didn't exist a year ago. Interview time is the scarcest resource in the funnel — and it's spent on the wrong candidates.

Example workflows

Resume parsing that extracts skill signal from narrative CVs.
Adaptive technical assessments with answer-integrity scoring.
AI-proctored interviews with attention monitoring and replay.
Structured candidate scoring that's defensible in a hiring panel.

Tech notes

NEXT.JSPYTHONVECTOR DBVISION MODELSCUSTOM EVALS

CUSTOMER OPS

Support that reads, classifies, and resolves.

Inboxes growing faster than headcount. Repeat tickets that never become knowledge. Time-to-first-response stretching every quarter while NPS slips.

Example workflows

Inbound triage by intent, severity, and customer tier.
Resolution against a self-healing knowledge base.
Confidence-gated auto-responses with human escalation.
Outcome tagging that updates the KB on every closed ticket.

Tech notes

FASTAPIQDRANTRAGCLASSIFICATIONWORKFLOW AUTOMATION

SALES ENABLEMENT

Proposal agents trained on your deal history.

Reps re-drafting proposals from scratch every week. Quality drifting as new hires improvise. Win/loss patterns living in someone's head and nowhere else.

Example workflows

First-draft proposal generation grounded in won deals.
Pricing and scope suggestions tuned to your historical mix.
Objection handling pulled from real customer transcripts.
Structured outputs that drop straight into your CRM.

Tech notes

LANGCHAINLLM ORCHESTRATIONRAGSTRUCTURED OUTPUTCRM INTEGRATION

INTERNAL KNOWLEDGE

Assistants grounded in a decade of internal docs.

A decade of policy, runbooks, and project history scattered across drives, wikis, and email threads. Standard RAG keeps surfacing stale answers. Trust in the assistant collapses the first time it cites a deprecated source.

Example workflows

Hybrid retrieval with reranking across heterogeneous sources.
Temporal-aware citation grading — current vs deprecated.
Role-based visibility so finance docs stay in finance.
Refusal behaviour when the source set is genuinely ambiguous.

Tech notes

HYBRID RETRIEVALTEMPORAL RAGVECTOR DBRBACCITATIONS

HEALTHCARE

Clinical and operational AI under real constraints.

Workflows where wrong answers carry weight. Audit trails non-negotiable. Data-residency, PII handling, and clinician-in-the-loop are starting conditions, not edge cases.

Example workflows

Document intake and structured extraction from clinical PDFs.
Triage assistants that defer to humans by design.
Coding and billing automation with full citation chains.
Patient-facing intake with clear escalation paths.

Tech notes

HIPAA-AWARE DESIGNSTRUCTURED EXTRACTIONEVALSAUDIT TRAILS

FINANCIAL SERVICES

AI where compliance lives in every decision.

Use cases where the regulator can ask why a system did what it did, and 'the model decided' isn't an answer. Latency budgets that don't move. Vendors counted carefully.

Example workflows

KYC and document verification pipelines.
Analyst copilots for research synthesis with full citations.
Anomaly detection on transaction streams.
Customer comms generation with compliance review built in.

Tech notes

APPLIED MLRAG WITH AUDITSTREAM PROCESSINGGUARDRAILS

D2C BRANDS

Voice and content systems for direct-to-consumer scale.

Inbound volume that spikes on launches and never quite settles. Marketing throughput limited by writing speed. Every unanswered call is lost revenue with attribution attached.

Example workflows

Inbound voice agents for order, returns, and qualification.
Multilingual support across whatsapp, email, and voice.
Content generation pipelines for product copy and lifecycle.
Sentiment and intent tagging across every customer touch.

Tech notes

VOICE AITELEPHONYMULTILINGUAL LLMSCONTENT PIPELINES

INTERNAL TOOLS

The middle layer between a rules engine and a full agent.

Workflows where a rules engine has stopped being enough but a fully agentic system is overkill. Tools that need to live inside the systems your team already uses, not replace them.

Example workflows

Classification, scoring, and routing pipelines.
Structured extraction from semi-structured data.
Lightweight assistants embedded in existing tools.
Process automation with rigorous, production-grade evaluation.

Tech notes

APPLIED MLPYTHONINTEGRATIONMONITORINGEVALS

Don't see your industry? Our capabilities apply across verticals — let's discuss your specific workflow.

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