Custom LLM Agents
Task-specific agents with typed tool use, human-in-the-loop escalation, and strict grounding policies. No general chatbot dressed up as a workflow — agents scoped to your SOPs.
SYNTHETICA AI // SILICON SLOPES, UTAH
Deploy intelligence,
not experiments.
We build production LLM systems for enterprises — custom agents, retrieval pipelines, and eval harnesses that ship to your VPC, not a slide deck. From kickoff to p99 SLOs in six weeks.
- 99.98%
- fleet uptime
- 740ms
- p99 latency
- 1,400
- tokens/sec
- SOC 2
- Type II
Synthetica CLI v4.2.0 — connected to tenant canyon-health
$
RUNNING IN PRODUCTION AT
- HELIXBIO
- VAULTPAY
- NORTHRIM
- CanyonHealth
- LEDGERLINE
- ORBITAL⌁FREIGHT
// THE PLATFORM
Four systems. One production-grade stack.
Everything between your data and a reliable answer — designed, evaluated, and operated as a single deployable unit.
RAG Pipelines
Hybrid dense + keyword retrieval with rerankers tuned on your corpus. Chunking that respects document structure, freshness-aware indexing, and per-answer citation coverage.
Eval & Observability
Versioned eval suites run on every prompt, model, and index change. Regression gates in CI, hallucination-rate tracking, and traces for every token that reaches a user.
Private Deployment
Ship to your AWS/GCP VPC or fully on-prem on your GPUs. Zero data retention by default, customer-managed keys, and no traffic that ever leaves your network boundary.
// ARCHITECTURE
Your data in. Actions out. Nothing leaks in between.
A single governed path from raw enterprise data to auditable actions — every hop instrumented, every answer cited.
01
Connect, don't copy. Read-through connectors sync deltas hourly; nothing is bulk-exported out of your environment.
02
Retrieval you can defend. Every answer ships with citation coverage; below-threshold answers auto-escalate to a human.
03
Actions with an undo. Agent writes are staged, signed, and reversible — with a full replay trail for compliance.
// BENCHMARKS
Measured, not marketed.
Contracts-v3 eval suite, 412 cases, run nightly against our stack and the incumbent vendor most of our customers replaced.
Task accuracy — higher is better
Synthetica atlas-8x
94.2%
Legacy vendor
71.8%
p99 latency — lower is better
Synthetica atlas-8x
740ms
Legacy vendor
2,900ms
Cost per 1M tokens — lower is better
Synthetica atlas-8x
$0.84
Legacy vendor
$3.60
Hallucination rate on grounded tasks: 0.4% · Throughput: 1,400 tok/s sustained on 8×H100 · Full methodology in the eval report we hand you during the pilot.
// SECURITY & COMPLIANCE
Built for the teams your CISO reports to.
SOC 2 Type II
Independently audited controls, continuous evidence collection, report available under NDA.
HIPAA-ready
BAAs, PHI redaction at ingestion, and de-identified eval sets for regulated healthcare workloads.
VPC / on-prem
Single-tenant by default. Weights, indexes, and traces live inside your network — forever.
Zero retention
Prompts and outputs are never used for training. Configurable TTLs down to zero for traces.
SSO/SAML · SCIM provisioning · customer-managed keys · role-scoped data access · quarterly pen tests
// DEVELOPERS
An API your platform team will actually like.
Typed SDKs for Python and TypeScript, OpenAPI spec, streaming by default, idempotent writes. Agents are declared in code, versioned in git, and promoted through the same eval gates as everything else.
- Streaming SSE responses at 1,400 tok/s sustained
- Deterministic replays of any production trace
- Fine-tuning jobs from your labeled escalations
- Drop-in gateway: point your existing OpenAI-style client at your VPC
from synthetica import Client
client = Client(api_key=os.environ["SYNTHETICA_API_KEY"])
agent = client.agents.create(
name="claims-triage",
model="atlas-8x",
retrieval=["claims_db", "policy_docs"],
guardrails={"pii": "redact", "grounding": "strict"},
escalation="human_review", # below 0.9 confidence
)
run = agent.invoke(
"Flag open claims likely to exceed reserve.",
stream=True,
)
for event in run:
print(event.delta, end="")
print(run.citations) # 12/12 grounded// PRICING
Start with a pilot. Scale on proof.
Every engagement begins with a fixed-scope pilot against your data and your eval criteria — not ours.
Pilot
$7,500 / 6-week pilot
- One production use case, your data
- Custom eval suite (≥300 cases)
- RAG pipeline on up to 3 sources
- Go/no-go report with real numbers
MOST TEAMS
Scale
$4,800 / month + usage
- Up to 5 agents in production
- Managed VPC deployment
- Nightly evals + regression gates
- 99.9% SLA, shared Slack channel
- Fine-tuning from your escalations
Enterprise
Custom — annual
- Unlimited agents, on-prem option
- Dedicated eval engineer
- HIPAA BAA, custom DPAs
- 99.98% SLA, 24/7 paging
// NEXT STEP
Book a technical demo.
Forty-five minutes with an engineer, not a deck. Bring a real workflow and three of your hardest documents — we'll run them live against atlas-8x and show you the traces.
$ synthetica demo --schedule ▮