SERVICES

Four ways we build. Each scoped to ship. Each measured on outcome.

Every engagement starts with one question — which metric should move, by how much, and how soon? That clarity shapes every scope and timeline.

workflow.intakev2.4 · live

inputraw_request → parsed

classifyintent: refund · conf 0.94

retrievepolicy_v3 · 4 chunks

act→ approve · log · notify

metricAHT −38% (7d)

01 / AGENTIC AI & CUSTOM AI SYSTEMS

Agentic AI & Custom AI Systems.

AI agents and custom systems built for specific workflows inside your business — agentic orchestration, intake agents, classification systems, retrieval-augmented assistants, and decision support pipelines. Shipped as production code you own, measured on a named outcome.

One system scoped to one workflow, with a clearly defined target metric.
Production code you own — not a hosted SaaS dependency or managed service.
Evals, guardrails, and monitoring included in every build.

live call · 02:14

caller: "मुझे कल का अपॉइंटमेंट reschedule करना है"

agent: "Sure — I see Dr. Mehta at 11 AM. Friday 3 PM works?"

caller: "Yes, perfect."

agent: "Booked. Confirmation SMS sent."

02 / VOICE & CONVERSATIONAL AI

Voice & Conversational AI.

End-to-end voice and conversational AI for support, sales, and operations — multilingual, telephony-integrated, with barge-in handling, structured outcome extraction, and graceful human handoff. Built for businesses where every conversation carries revenue potential.

Multilingual voice agents with telephony integration and interruption handling.
Call transcripts, outcome tagging, and conversation analytics included.
Structured handoff to human agents when escalation is needed.

query · expense policy 2025

policy/finance/expense_v4.md0.91current

wiki/travel/per-diem.md0.87current

policy/finance/expense_v2.md0.74DEPRECATED

03 / CONTEXT-AWARE AI ASSISTANTS

Context-Aware AI Assistants.

AI assistants grounded in your own documents, databases, and business systems — built to answer with context, accuracy, and traceable knowledge. Hybrid retrieval with reranking, citations, and freshness controls for contexts where accuracy is non-negotiable.

Ingestion, chunking, and indexing tuned for your data and document types.
Hybrid retrieval with reranking and citation fidelity across all responses.
Evaluation harness that catches regressions before they reach users.

model · churn_risk · prod

AUC

0.89

P@10

0.72

drift

0.04

04 / AI PRODUCT ENGINEERING & INFRASTRUCTURE

AI Product Engineering & Infrastructure.

Complete AI-enabled products — from frontend interfaces and APIs to data pipelines, cloud infrastructure, model integration, and production deployment. Built as a unified system, not components bolted together after the fact.

Frontend interfaces, backend systems, APIs, and databases built as one product.
Scalable cloud and edge infrastructure with observability and cost awareness.
Applied ML pipelines, model integration, and production monitoring included.

ENGAGEMENT MODEL

Focused. Scoped. Delivered. Our engagement process, step by step.

PHASE 01

Discovery

Structured engagement across stakeholders and systems. We map the target workflow, define the success metric, and assess data readiness. Output: a written problem statement.

PHASE 02

Solution Design

Architecture selection, stack decisions, and a one-page scope document. Deliverables, timeline, and acceptance criteria are fixed before build begins.

PHASE 03

First Release

End-to-end working system integrated against your data. Production-grade pipeline producing real outputs — ready for structured review and iteration.

PHASE 04

Iteration

Iterative build cycles with a working release at each gate. Evaluation suite runs on every change. Scope adjustments are made at cycle boundaries.

PHASE 05

Deployment

Production release with monitoring, guardrails, and complete knowledge transfer. The system is yours — documentation, access, and ownership included.

OUR FOCUS

How we work. Five principles that hold across every engagement.

Fixed scope. Defined outcome.
Every engagement has a named target metric, a fixed deliverable, and a clear timeline. No retainers, no open-ended contracts.
The team that scopes the work builds it.
No handoffs between strategy and engineering. The same people who define the solution write the code — from kickoff to deployment.
We're direct about fit.
If your use case isn't the right match for our team, we say so in the first conversation — not after weeks of onboarding.
Production software, not prototypes.
Every engagement ends with something deployed and measurable — not a demo, not a report, not a roadmap.
We start with the workflow, not the model.
Before selecting any tool or model, we map the workflow. If the underlying process needs fixing before AI can add value, we'll say so.

TRUSTED STACK