Forward-deployed · Agent platform + human experts

We build what doesn't exist yet. And rewrite what shouldn't.

Lab is Kare AI's forward-deployed engineering practice. We build the agentic applications no vendor sells — and rewrite the ones they do, freeing enterprises from third-party SaaS dependency, cost, and lock-in. Your CRM. Your CX platform. Your ORM. Built on your infrastructure, owned by you.

PRINCIPLE 01
Platform, not project.
We deploy a living agent platform — not a fixed deliverable. It ships fast, learns continuously, and outlives the engagement.
PRINCIPLE 02
People bundled in.
Every engagement ships with named engineers, domain experts, and a human-in-the-loop network. The platform and the people are one price.
PRINCIPLE 03
Your infra, your rules.
Air-gapped, private VPC, or managed cloud. Open-source or frontier models. Your data stays in the boundary you set.
PRINCIPLE 04
Own it. Don't rent it.
Every SaaS license is a dependency. We help you replace the ones that no longer earn their seat — with AI-native software you own, control, and evolve.
Engagement model

Discovery to production in weeks. Operate-and-improve, forever.

Lab engagements follow a four-phase model that moves fast, ships early, and stays embedded as long as the platform is running. No throw-over-the-wall. No "here's a deck, good luck."

Phase 1 · Discovery 1–2 weeks

Understand the workflow. Map the agents.

We sit with the people who do the work today — operations leads, clinicians, analysts, legal teams — and map every decision, exception, and handoff. The output is a living workflow blueprint and an agent architecture that names every AI worker, every tool it needs, and every point where a human stays in the loop.

Workflow blueprint Agent architecture Data & integration map Risk & compliance review
Phase 2 · Build 4–8 weeks

Ship agents into production. Not a prototype.

Our engineers deploy the Kare AI agent platform inside your infrastructure, wire integrations to your systems of record, author the skill packs that encode your domain logic, and stand up the human-in-the-loop escalation network. First agents go live by week 3. We ship incrementally — not big-bang.

Agent platform deployed Skill packs authored Integrations wired HITL network activated Observability & audit
Phase 3 · Harden 2–4 weeks

Edge cases. Scale. Compliance sign-off.

We run the system under real load, chase edge cases with your operations team, tune the model router for cost and latency, and deliver the audit artifacts your security and compliance teams need to sign off. Production-grade, not demo-grade.

Load & stress testing Edge-case runbook Model-router tuning Security & compliance pack
Phase 4 · Operate Ongoing

We stay. The platform gets sharper.

A named Kare AI team stays embedded — monitoring agent performance, updating skill packs as your processes evolve, onboarding new workflows, and feeding human-expert judgements back into the system. We measure ourselves on your outcomes, not our tickets closed.

Ongoing platform ops Skill-pack evolution New workflow onboarding Monthly outcome reviews
What you get

Platform + people + process. One engagement.

Every Lab engagement ships three things as a single bundle — never sold separately, never billed as line items. The platform, the people, and the process that keeps them improving.

The agent platform

The full Kare AI stack — deployed inside your infrastructure, configured for your data, your models, and your compliance posture.

  • Multi-agent orchestration runtime
  • Model router (open-source + frontier)
  • 1,000+ pre-built connectors
  • Skill-pack authoring environment
  • Observability, audit, and session logs
👥

The forward-deployed team

Named engineers and domain experts who sit with your team — not in a remote delivery center. They build, they stay, they operate.

  • Lead architect (named, dedicated)
  • 2–4 agent engineers
  • Domain specialist per vertical
  • Human-in-the-loop expert network
  • Delivery lead & outcome owner
🔄

The operate model

The engagement doesn't end at go-live. We stay embedded, evolve the platform with your processes, and measure ourselves on your outcomes.

  • Ongoing platform operations
  • Skill-pack versioning & evolution
  • New workflow onboarding
  • Monthly outcome reviews
  • Pricing tied to outcomes, not hours
SaaS liberation

Every SaaS license is a dependency. We help you drop the ones that no longer earn their seat.

Most enterprises run 200+ SaaS tools — each one a recurring cost, a data silo, and a vendor lock-in. Lab builds AI-native replacements you own outright: same outcome, your infrastructure, fraction of the TCO.

REPLACES
Salesforce · HubSpot · Pipedrive
Your own Agentic CRM

AI-native pipeline management with autonomous lead scoring, enrichment, nurture sequences, and deal-stage progression — wired to your data, owned by you. No per-seat licensing. No vendor roadmap dependency.

REPLACES
Zendesk · Intercom · Freshdesk
Your own CX Platform

Omnichannel customer experience with AI-powered chatbots, ticket management, knowledge-base-connected resolution, and CSAT tracking — deployed inside your perimeter, evolving with your product.

REPLACES
Hootsuite · Sprout Social · Buffer
Your own Social Media Engine

AI-driven content planning, generation, scheduling, publishing, and community management across every platform — with your brand model baked in, not rented from a third party.

REPLACES
Brandwatch · Mention · ReviewTrackers
Your own ORM & Listening Stack

Real-time reputation monitoring, review response, social listening, and brand-health scoring — built on your infrastructure with your escalation workflows and your compliance rules.

REPLACES
Marketo · Pardot · Mailchimp
Your own Marketing Automation

Campaign orchestration, email sequences, landing pages, lead scoring, and multi-touch attribution — AI-native from the ground up, no per-contact pricing, no feature-gating.

REPLACES
Any vertical SaaS · Any legacy tool
Your own [anything]

Contract management, procurement ops, compliance workflows, clinical trial management, dealer management — if a SaaS vendor charges you per seat for it, we can build an AI-native version you own. Describe the tool, we architect the replacement.

60–80%
TCO reduction vs. incumbent SaaS, year 2 onward
0
Per-seat licensing fees. Ever.
100%
You own the code, the data, the roadmap
What we build

The applications no vendor sells — because the workflow is yours.

Lab builds what sits between your existing systems and the outcome you need — where no off-the-shelf tool fits because the logic is proprietary, regulated, or simply too specific to generalize.

CLINICAL & REGULATORY

Clinical decision & evidence copilots

EHR-connected clinical agents, evidence synthesis with citation-first outputs, regulatory writing pipelines, pharmacovigilance triage. Air-gapped for regulated data.

Deployed at: pharma, hospital systems, CROs
FINANCIAL OPERATIONS

Credit, underwriting & compliance copilots

Credit-decisioning agents with model governance, KYC/AML triage with audit trail, regulatory reporting automation, working-capital optimization engines.

Deployed at: banks, insurance, capital markets
PROFESSIONAL SERVICES

Engagement, delivery & knowledge copilots

EM productivity agents, knowledge-transfer bots for offshore handoffs, RFP assembly, practice-specific skill packs, delivery-productivity dashboards.

Deployed at: IT services, consulting, BPO
SUPPLY CHAIN & OPS

Dispatch, logistics & aftermarket copilots

PLC/MES/SCADA-integrated operator agents, warranty automation, predictive maintenance, field service knowledge transfer, control-tower observability.

Deployed at: manufacturing, logistics, facilities
REVENUE & GTM

Pipeline, pricing & market-intelligence engines

Custom pipeline copilots, deal-desk automation, dynamic pricing agents, market-intelligence pipelines, ABM signal engines wired to CRM.

Deployed at: enterprise SaaS, marketplaces, media
CUSTOM ENTERPRISE

Whatever the workflow demands

If the workflow is proprietary, regulated, or too specific for an off-the-shelf tool — we build it. Any vertical, any system of record, any compliance posture. Describe the outcome, we architect the system.

Start with a brief, deploy in weeks
6–12
Weeks from brief to production
100%
Engagements retain into operate phase
30–50%
Process-cycle-time reduction, median
5 min
Median human-expert response on escalation
Architecture

The same gen-AI stack. Custom-configured for your build.

Every Lab engagement deploys from the same six-layer Kare AI architecture — configured per workload, per regulator, per region. Open-source or cloud, mixed and matched per layer.

Layer
What it does
Components
L6 · EXPERIENCE
Channels
Where the work lands. Email, Slack, Teams, phone, WhatsApp, Telegram, or a custom UI — chosen per use case.
Aide.WorkCustom UIsAPI
L5 · WORKFLOW
Agents
The workers. Multi-agent planners and tool-using workers, composed into workflows unique to your build.
LangGraphCrewAIMCPKare Runtime
L4 · KNOWLEDGE
Skill packs
Your domain logic. Custom skill packs authored from your SOPs, policies, and expert knowledge — versioned, testable, auditable.
SKILL.mdGit-versionedPrivate
L3 · INTEGRATIONS
MCP + tools
How agents touch systems. Pre-built and custom connectors to your ERP, CRM, EHR, ticketing, and proprietary systems.
1,000+ connectorsOpenAPICustom
L2 · MODEL
Model router
Right model per task. Route between frontier and open weights based on cost, latency, and capability requirements.
ClaudeGPTLlama 3DeepSeekGemini
L1 · INFRA
Runtime
Your perimeter. Air-gapped, private VPC, or managed cloud — your data stays where you say it stays.
AWSAzureGCPK8svLLM

→ Same architecture as Kimmchi, Analyst AI, and Aide.Work. Custom-configured per engagement. Portable between deployments.

Describe the outcome. We'll architect the system.