Custom AI Agents built for your stack.
We design, build, and operate custom AI agents that integrate with your data, your tools, and your compliance requirements. Persona-driven, tool-equipped, escalation-aware, audit-grade. Live deployments in regulated FinTech, enterprise HealthTech, and government environments.
Tools + Persona + Memory. Architected for your domain.
A custom agent is more than a prompt. It's a persona, a toolkit, a memory layer, an evaluation harness, and an operations runbook — designed for the specific job your business needs done.
Tone, voice, boundaries
Crafted with your CX or operations team. Brand-aligned, jurisdictionally-aware, escalation-trained. Not a generic 'helpful assistant'.
Real systems, real actions
Read from Salesforce, write to Postgres, trigger SAP, file Jira tickets, send DocuSign. Tool-calling layer with strict authorization.
Session + long-term
Short-term context for the current conversation, long-term memory for the user's history. Privacy-respecting, audit-logged.
Day-one operational
Eval harness shipped with the agent. Observability built in. Drift detection. Replay infrastructure. You operate it, not us.
By job, by domain. Match the pattern to the work.
Customer-facing
Tier-1 + tier-2 customer service. Persona-driven, omnichannel, escalation-aware.
Internal + customer
Retrieval over policy, contracts, product docs. Citation-enforced. Versioned source-of-truth.
Analytics copilot
NL-to-SQL over governed data. Sentiment analysis. Dashboard narration. Executive briefings.
Back-office automation
Multi-step business processes. KYC, onboarding, contract lifecycle, claims, invoicing.
Multi-hop reasoning
Deep research over multiple sources. Due diligence, competitive analysis, document synthesis.
Embedded in workflow
Agent embedded in your existing CRM, ticketing, or workflow tool. Augments humans, not replaces.
Proof. Not pitch decks.
Service Agent — replaced 180 agents.
Persona-driven, triage-enabled, omnichannel. 50,000+ conversations a day. 15 service flows. PCI-DSS compliant. AR/EN bilingual. Pattern transferable to any regulated customer-service environment.
ADVISORY · LEADERSHIPDr. Atif Farid, PhD
AI advisor — Capitol Tech University Quantum Computing Chair. Adjunct AI/ML professor. Architecture sign-off on every flagship agent build.
BLOG · 12 min readWhy Most AI Agents Fail in Production
The five architecture choices that separate working systems from broken pilots.
Questions buyers actually ask.
What's the difference between an agent and a chatbot?
A chatbot answers. An agent acts — it calls tools, triggers actions, updates systems, and reasons over multi-step flows. Most production deployments combine both: the chatbot face, the agent under the hood.
How autonomous should an agent be?
Depends on the risk surface. Customer-facing money movement: human-in-the-loop on every action. Internal knowledge query: fully autonomous. We architect for the right level of autonomy per use case.
Can the agent learn over time?
Yes — through three mechanisms: prompt refinement based on production data, retrieval corpus updates, and selective fine-tuning for repetitive failure modes. We retrain quarterly in most deployments.
Who owns the agent IP after delivery?
You do. All code, prompts, fine-tuned models, eval harnesses, and runbooks transfer on payment of the final milestone. No equity, no revenue share, no maintenance lock-in.
Scope a custom agent for your business.
30-min call with our CTO and AI advisor. Bring the job-to-be-done. We'll sketch the architecture, the cost, and the realistic timeline.